Pass and log a function

* Continue polling stats until all evals complete

* Return evaluation changes early, before it has run

* Add task for running new eval

* requeue rate-limited tasks

* Fix prettier

.prettierignore

@@ -1,2 +1,2 @@
-src/codegen/openai.schema.json
+*.schema.json
 pnpm-lock.yaml

.vscode/settings.json

@@ -1,6 +1,3 @@
 {
-  "eslint.format.enable": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll.eslint": true
-  }
+  "eslint.format.enable": true
 }

README.md

@@ -43,7 +43,9 @@ Natively supports [OpenAI function calls](https://openai.com/blog/function-calli
 
 ## Supported Models
 
-OpenPipe currently supports GPT-3.5 and GPT-4. Wider model support is planned.
+- All models available through the OpenAI [chat completion API](https://platform.openai.com/docs/guides/gpt/chat-completions-api)
+- Llama2 [7b chat](https://replicate.com/a16z-infra/llama7b-v2-chat), [13b chat](https://replicate.com/a16z-infra/llama13b-v2-chat), [70b chat](https://replicate.com/replicate/llama70b-v2-chat).
+- Anthropic's [Claude 1 Instant](https://www.anthropic.com/index/introducing-claude) and [Claude 2](https://www.anthropic.com/index/claude-2)
 
 ## Running Locally
 

package.json

@@ -12,7 +12,7 @@
     "dev:next": "next dev",
     "dev:wss": "pnpm tsx --watch src/wss-server.ts",
     "dev:worker": "NODE_ENV='development' pnpm tsx --watch src/server/tasks/worker.ts",
-    "dev": "concurrently --kill-others 'pnpm dev:next' 'pnpm dev:wss'",
+    "dev": "concurrently --kill-others 'pnpm dev:next' 'pnpm dev:wss' 'pnpm dev:worker'",
     "postinstall": "prisma generate",
     "lint": "next lint",
     "start": "next start",
@@ -21,6 +21,7 @@
     "check": "concurrently 'pnpm lint' 'pnpm tsc' 'pnpm prettier . --check'"
   },
   "dependencies": {
+    "@anthropic-ai/sdk": "^0.5.8",
     "@apidevtools/json-schema-ref-parser": "^10.1.0",
     "@babel/preset-typescript": "^7.22.5",
     "@babel/standalone": "^7.22.9",
@@ -59,6 +60,7 @@
     "lodash-es": "^4.17.21",
     "next": "^13.4.2",
     "next-auth": "^4.22.1",
+    "next-query-params": "^4.2.3",
     "nextjs-routes": "^2.0.1",
     "openai": "4.0.0-beta.2",
     "pluralize": "^8.0.0",
@@ -79,6 +81,8 @@
     "superjson": "1.12.2",
     "tsx": "^3.12.7",
     "type-fest": "^4.0.0",
+    "use-query-params": "^2.2.1",
+    "uuid": "^9.0.0",
     "vite-tsconfig-paths": "^4.2.0",
     "zod": "^3.21.4",
     "zustand": "^4.3.9"
@@ -99,6 +103,7 @@
     "@types/react": "^18.2.6",
     "@types/react-dom": "^18.2.4",
     "@types/react-syntax-highlighter": "^15.5.7",
+    "@types/uuid": "^9.0.2",
     "@typescript-eslint/eslint-plugin": "^5.59.6",
     "@typescript-eslint/parser": "^5.59.6",
     "eslint": "^8.40.0",

pnpm-lock.yaml

@@ -5,6 +5,9 @@ settings:
   excludeLinksFromLockfile: false
 
 dependencies:
+  '@anthropic-ai/sdk':
+    specifier: ^0.5.8
+    version: 0.5.8
   '@apidevtools/json-schema-ref-parser':
     specifier: ^10.1.0
     version: 10.1.0
@@ -119,6 +122,9 @@ dependencies:
   next-auth:
     specifier: ^4.22.1
     version: 4.22.1(next@13.4.2)(react-dom@18.2.0)(react@18.2.0)
+  next-query-params:
+    specifier: ^4.2.3
+    version: 4.2.3(next@13.4.2)(react@18.2.0)(use-query-params@2.2.1)
   nextjs-routes:
     specifier: ^2.0.1
     version: 2.0.1(next@13.4.2)
@@ -179,6 +185,12 @@ dependencies:
   type-fest:
     specifier: ^4.0.0
     version: 4.0.0
+  use-query-params:
+    specifier: ^2.2.1
+    version: 2.2.1(react-dom@18.2.0)(react@18.2.0)
+  uuid:
+    specifier: ^9.0.0
+    version: 9.0.0
   vite-tsconfig-paths:
     specifier: ^4.2.0
     version: 4.2.0(typescript@5.0.4)
@@ -235,6 +247,9 @@ devDependencies:
   '@types/react-syntax-highlighter':
     specifier: ^15.5.7
     version: 15.5.7
+  '@types/uuid':
+    specifier: ^9.0.2
+    version: 9.0.2
   '@typescript-eslint/eslint-plugin':
     specifier: ^5.59.6
     version: 5.59.6(@typescript-eslint/parser@5.59.6)(eslint@8.40.0)(typescript@5.0.4)
@@ -286,6 +301,22 @@ packages:
       '@jridgewell/gen-mapping': 0.3.3
       '@jridgewell/trace-mapping': 0.3.18
 
+  /@anthropic-ai/sdk@0.5.8:
+    resolution: {integrity: sha512-iHenjcE2Q/az6VZiP1DueOSvKNRmxsly6Rx2yjJBoy7OBYVFGVjEdgs2mPQHtTX0ibKAR7tPq6F6MQbKDPWcKg==}
+    dependencies:
+      '@types/node': 18.16.0
+      '@types/node-fetch': 2.6.4
+      abort-controller: 3.0.0
+      agentkeepalive: 4.3.0
+      digest-fetch: 1.3.0
+      form-data-encoder: 1.7.2
+      formdata-node: 4.4.1
+      node-fetch: 2.6.12
+    transitivePeerDependencies:
+      - encoding
+      - supports-color
+    dev: false
+
   /@apidevtools/json-schema-ref-parser@10.1.0:
     resolution: {integrity: sha512-3e+viyMuXdrcK8v5pvP+SDoAQ77FH6OyRmuK48SZKmdHJRFm87RsSs8qm6kP39a/pOPURByJw+OXzQIqcfmKtA==}
     engines: {node: '>= 16'}
@@ -3018,6 +3049,10 @@ packages:
     resolution: {integrity: sha512-cputDpIbFgLUaGQn6Vqg3/YsJwxUwHLO13v3i5ouxT4lat0khip9AEWxtERujXV9wxIB1EyF97BSJFt6vpdI8g==}
     dev: false
 
+  /@types/uuid@9.0.2:
+    resolution: {integrity: sha512-kNnC1GFBLuhImSnV7w4njQkUiJi0ZXUycu1rUaouPqiKlXkh77JKgdRnTAp1x5eBwcIwbtI+3otwzuIDEuDoxQ==}
+    dev: true
+
   /@typescript-eslint/eslint-plugin@5.59.6(@typescript-eslint/parser@5.59.6)(eslint@8.40.0)(typescript@5.0.4):
     resolution: {integrity: sha512-sXtOgJNEuRU5RLwPUb1jxtToZbgvq3M6FPpY4QENxoOggK+UpTxUBpj6tD8+Qh2g46Pi9We87E+eHnUw8YcGsw==}
     engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
@@ -6037,6 +6072,19 @@ packages:
       uuid: 8.3.2
     dev: false
 
+  /next-query-params@4.2.3(next@13.4.2)(react@18.2.0)(use-query-params@2.2.1):
+    resolution: {integrity: sha512-hGNCYRH8YyA5ItiBGSKrtMl21b2MAqfPkdI1mvwloNVqSU142IaGzqHN+OTovyeLIpQfonY01y7BAHb/UH4POg==}
+    peerDependencies:
+      next: ^10.0.0 || ^11.0.0 || ^12.0.0 || ^13.0.0
+      react: ^16.8.0 || ^17.0.0 || ^18.0.0
+      use-query-params: ^2.0.0
+    dependencies:
+      next: 13.4.2(@babel/core@7.22.9)(react-dom@18.2.0)(react@18.2.0)
+      react: 18.2.0
+      tslib: 2.6.0
+      use-query-params: 2.2.1(react-dom@18.2.0)(react@18.2.0)
+    dev: false
+
   /next-tick@1.1.0:
     resolution: {integrity: sha512-CXdUiJembsNjuToQvxayPZF9Vqht7hewsvy2sOWafLvi2awflj9mOC6bHIg50orX8IJvWKY9wYQ/zB2kogPslQ==}
     dev: false
@@ -7147,6 +7195,10 @@ packages:
       randombytes: 2.1.0
     dev: true
 
+  /serialize-query-params@2.0.2:
+    resolution: {integrity: sha512-1chMo1dST4pFA9RDXAtF0Rbjaut4is7bzFbI1Z26IuMub68pNCILku85aYmeFhvnY//BXUPUhoRMjYcsT93J/Q==}
+    dev: false
+
   /serve-static@1.15.0:
     resolution: {integrity: sha512-XGuRDNjXUijsUL0vl6nSD7cwURuzEgglbOaFuZM9g3kwDXOWVTck0jLzjPzGD+TazWbboZYu52/9/XPdUgne9g==}
     engines: {node: '>= 0.8.0'}
@@ -7824,6 +7876,24 @@ packages:
       use-isomorphic-layout-effect: 1.1.2(@types/react@18.2.6)(react@18.2.0)
     dev: false
 
+  /use-query-params@2.2.1(react-dom@18.2.0)(react@18.2.0):
+    resolution: {integrity: sha512-i6alcyLB8w9i3ZK3caNftdb+UnbfBRNPDnc89CNQWkGRmDrm/gfydHvMBfVsQJRq3NoHOM2dt/ceBWG2397v1Q==}
+    peerDependencies:
+      '@reach/router': ^1.2.1
+      react: '>=16.8.0'
+      react-dom: '>=16.8.0'
+      react-router-dom: '>=5'
+    peerDependenciesMeta:
+      '@reach/router':
+        optional: true
+      react-router-dom:
+        optional: true
+    dependencies:
+      react: 18.2.0
+      react-dom: 18.2.0(react@18.2.0)
+      serialize-query-params: 2.0.2
+    dev: false
+
   /use-sidecar@1.1.2(@types/react@18.2.6)(react@18.2.0):
     resolution: {integrity: sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==}
     engines: {node: '>=10'}
@@ -7872,6 +7942,11 @@ packages:
     hasBin: true
     dev: false
 
+  /uuid@9.0.0:
+    resolution: {integrity: sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==}
+    hasBin: true
+    dev: false
+
   /vary@1.1.2:
     resolution: {integrity: sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==}
     engines: {node: '>= 0.8'}

prisma/migrations/20230725005817_use_id_as_streaming_channel/migration.sql

@@ -0,0 +1,8 @@
+/*
+  Warnings:
+
+  - You are about to drop the column `streamingChannel` on the `ScenarioVariantCell` table. All the data in the column will be lost.
+
+*/
+-- AlterTable
+ALTER TABLE "ScenarioVariantCell" DROP COLUMN "streamingChannel";

prisma/migrations/20230725191512_migrate_model_response/migration.sql

@@ -0,0 +1,52 @@
+-- DropForeignKey
+ALTER TABLE "ModelOutput" DROP CONSTRAINT "ModelOutput_scenarioVariantCellId_fkey";
+
+-- DropForeignKey
+ALTER TABLE "OutputEvaluation" DROP CONSTRAINT "OutputEvaluation_modelOutputId_fkey";
+
+-- DropIndex
+DROP INDEX "OutputEvaluation_modelOutputId_evaluationId_key";
+
+-- AlterTable
+ALTER TABLE "OutputEvaluation" RENAME COLUMN "modelOutputId" TO "modelResponseId";
+
+-- AlterTable
+ALTER TABLE "ScenarioVariantCell" DROP COLUMN "retryTime",
+DROP COLUMN "statusCode",
+ADD COLUMN     "jobQueuedAt" TIMESTAMP(3),
+ADD COLUMN     "jobStartedAt" TIMESTAMP(3);
+
+ALTER TABLE "ModelOutput" RENAME TO "ModelResponse";
+
+ALTER TABLE "ModelResponse" 
+ADD COLUMN "requestedAt" TIMESTAMP(3),
+ADD COLUMN "receivedAt" TIMESTAMP(3),
+ADD COLUMN "statusCode" INTEGER,
+ADD COLUMN "errorMessage" TEXT,
+ADD COLUMN "retryTime" TIMESTAMP(3),
+ADD COLUMN "outdated" BOOLEAN NOT NULL DEFAULT false;
+
+-- 3. Remove the unnecessary column
+ALTER TABLE "ModelResponse"
+DROP COLUMN "timeToComplete";
+
+-- AlterTable
+ALTER TABLE "ModelResponse" RENAME CONSTRAINT "ModelOutput_pkey" TO "ModelResponse_pkey";
+ALTER TABLE "ModelResponse" ALTER COLUMN "output" DROP NOT NULL;
+
+-- DropIndex
+DROP INDEX "ModelOutput_scenarioVariantCellId_key";
+
+-- AddForeignKey
+ALTER TABLE "ModelResponse" ADD CONSTRAINT "ModelResponse_scenarioVariantCellId_fkey" FOREIGN KEY ("scenarioVariantCellId") REFERENCES "ScenarioVariantCell"("id") ON DELETE CASCADE ON UPDATE CASCADE;
+
+-- RenameIndex
+ALTER INDEX "ModelOutput_inputHash_idx" RENAME TO "ModelResponse_inputHash_idx";
+
+-- CreateIndex
+CREATE UNIQUE INDEX "OutputEvaluation_modelResponseId_evaluationId_key" ON "OutputEvaluation"("modelResponseId", "evaluationId");
+
+-- AddForeignKey
+ALTER TABLE "OutputEvaluation" ADD CONSTRAINT "OutputEvaluation_modelResponseId_fkey" FOREIGN KEY ("modelResponseId") REFERENCES "ModelResponse"("id") ON DELETE CASCADE ON UPDATE CASCADE;
+
+

prisma/schema.prisma

@@ -22,10 +22,10 @@ model Experiment {
     createdAt DateTime @default(now())
     updatedAt DateTime @updatedAt
 
-    TemplateVariable TemplateVariable[]
-    PromptVariant    PromptVariant[]
-    TestScenario     TestScenario[]
-    Evaluation       Evaluation[]
+    templateVariables TemplateVariable[]
+    promptVariants    PromptVariant[]
+    testScenarios     TestScenario[]
+    evaluations       Evaluation[]
 }
 
 model PromptVariant {
@@ -90,13 +90,11 @@ enum CellRetrievalStatus {
 model ScenarioVariantCell {
     id String @id @default(uuid()) @db.Uuid
 
-    statusCode       Int?
-    errorMessage     String?
-    retryTime        DateTime?
-    streamingChannel String?
-    retrievalStatus  CellRetrievalStatus @default(COMPLETE)
-
-    modelOutput ModelOutput?
+    retrievalStatus CellRetrievalStatus @default(COMPLETE)
+    jobQueuedAt     DateTime?
+    jobStartedAt    DateTime?
+    modelResponses  ModelResponse[]
+    errorMessage    String? // Contains errors that occurred independently of model responses
 
     promptVariantId String        @db.Uuid
     promptVariant   PromptVariant @relation(fields: [promptVariantId], references: [id], onDelete: Cascade)
@@ -111,24 +109,28 @@ model ScenarioVariantCell {
     @@unique([promptVariantId, testScenarioId])
 }
 
-model ModelOutput {
+model ModelResponse {
     id String @id @default(uuid()) @db.Uuid
 
-    inputHash        String
-    output           Json
-    timeToComplete   Int    @default(0)
-    cost             Float?
-    promptTokens     Int?
-    completionTokens Int?
+    inputHash           String
+    requestedAt         DateTime?
+    receivedAt          DateTime?
+    output              Json?
+    cost                Float?
+    promptTokens        Int?
+    completionTokens    Int?
+    statusCode          Int?
+    errorMessage        String?
+    retryTime           DateTime?
+    outdated            Boolean @default(false)
 
     createdAt DateTime @default(now())
     updatedAt DateTime @updatedAt
 
     scenarioVariantCellId String              @db.Uuid
     scenarioVariantCell   ScenarioVariantCell @relation(fields: [scenarioVariantCellId], references: [id], onDelete: Cascade)
-    outputEvaluation      OutputEvaluation[]
+    outputEvaluations      OutputEvaluation[]
 
-    @@unique([scenarioVariantCellId])
     @@index([inputHash])
 }
 
@@ -150,7 +152,7 @@ model Evaluation {
 
     createdAt        DateTime           @default(now())
     updatedAt        DateTime           @updatedAt
-    OutputEvaluation OutputEvaluation[]
+    outputEvaluations OutputEvaluation[]
 }
 
 model OutputEvaluation {
@@ -160,8 +162,8 @@ model OutputEvaluation {
     result  Float
     details String?
 
-    modelOutputId String      @db.Uuid
-    modelOutput   ModelOutput @relation(fields: [modelOutputId], references: [id], onDelete: Cascade)
+    modelResponseId String      @db.Uuid
+    modelResponse   ModelResponse @relation(fields: [modelResponseId], references: [id], onDelete: Cascade)
 
     evaluationId String     @db.Uuid
     evaluation   Evaluation @relation(fields: [evaluationId], references: [id], onDelete: Cascade)
@@ -169,7 +171,7 @@ model OutputEvaluation {
     createdAt DateTime @default(now())
     updatedAt DateTime @updatedAt
 
-    @@unique([modelOutputId, evaluationId])
+    @@unique([modelResponseId, evaluationId])
 }
 
 model Organization {
@@ -179,8 +181,8 @@ model Organization {
 
     createdAt        DateTime           @default(now())
     updatedAt        DateTime           @updatedAt
-    OrganizationUser OrganizationUser[]
-    Experiment       Experiment[]
+    organizationUsers OrganizationUser[]
+    experiments       Experiment[]
 }
 
 enum OrganizationUserRole {
@@ -234,15 +236,15 @@ model Session {
 }
 
 model User {
-    id               String             @id @default(uuid()) @db.Uuid
-    name             String?
-    email            String?            @unique
-    emailVerified    DateTime?
-    image            String?
-    accounts         Account[]
-    sessions         Session[]
-    OrganizationUser OrganizationUser[]
-    Organization     Organization[]
+    id                String             @id @default(uuid()) @db.Uuid
+    name              String?
+    email             String?            @unique
+    emailVerified     DateTime?
+    image             String?
+    accounts          Account[]
+    sessions          Session[]
+    organizationUsers OrganizationUser[]
+    organizations     Organization[]
 }
 
 model VerificationToken {

prisma/seed.ts

@@ -7,9 +7,13 @@ const defaultId = "11111111-1111-1111-1111-111111111111";
 await prisma.organization.deleteMany({
   where: { id: defaultId },
 });
-await prisma.organization.create({
-  data: { id: defaultId },
-});
+
+// If there's an existing org, just seed into it
+const org =
+  (await prisma.organization.findFirst({})) ??
+  (await prisma.organization.create({
+    data: { id: defaultId },
+  }));
 
 await prisma.experiment.deleteMany({
   where: {
@@ -21,7 +25,7 @@ await prisma.experiment.create({
   data: {
     id: defaultId,
     label: "Country Capitals Example",
-    organizationId: defaultId,
+    organizationId: org.id,
   },
 });
 
@@ -103,30 +107,41 @@ await prisma.testScenario.deleteMany({
   },
 });
 
+const countries = [
+  "Afghanistan",
+  "Albania",
+  "Algeria",
+  "Andorra",
+  "Angola",
+  "Antigua and Barbuda",
+  "Argentina",
+  "Armenia",
+  "Australia",
+  "Austria",
+  "Austrian Empire",
+  "Azerbaijan",
+  "Baden",
+  "Bahamas, The",
+  "Bahrain",
+  "Bangladesh",
+  "Barbados",
+  "Bavaria",
+  "Belarus",
+  "Belgium",
+  "Belize",
+  "Benin (Dahomey)",
+  "Bolivia",
+  "Bosnia and Herzegovina",
+  "Botswana",
+];
 await prisma.testScenario.createMany({
-  data: [
-    {
-      experimentId: defaultId,
-      sortIndex: 0,
-      variableValues: {
-        country: "Spain",
-      },
+  data: countries.map((country, i) => ({
+    experimentId: defaultId,
+    sortIndex: i,
+    variableValues: {
+      country: country,
     },
-    {
-      experimentId: defaultId,
-      sortIndex: 1,
-      variableValues: {
-        country: "USA",
-      },
-    },
-    {
-      experimentId: defaultId,
-      sortIndex: 2,
-      variableValues: {
-        country: "Chile",
-      },
-    },
-  ],
+  })),
 });
 
 const variants = await prisma.promptVariant.findMany({
@@ -149,5 +164,5 @@ await Promise.all(
         testScenarioId: scenario.id,
       })),
     )
-    .map((cell) => generateNewCell(cell.promptVariantId, cell.testScenarioId)),
+    .map((cell) => generateNewCell(cell.promptVariantId, cell.testScenarioId, { stream: false })),
 );

run-prod.sh

@@ -6,4 +6,7 @@ echo "Migrating the database"
 pnpm prisma migrate deploy
 
 echo "Starting the server"
-pnpm start
+
+pnpm concurrently --kill-others \
+  "pnpm start" \
+  "pnpm tsx src/server/tasks/worker.ts"

src/components/ChangeModelModal/ChangeModelModal.tsx

@@ -1,5 +1,7 @@
 import {
   Button,
+  HStack,
+  Icon,
   Modal,
   ModalBody,
   ModalCloseButton,
@@ -7,33 +9,37 @@ import {
   ModalFooter,
   ModalHeader,
   ModalOverlay,
-  VStack,
-  Text,
   Spinner,
-  HStack,
-  Icon,
+  Text,
+  VStack,
 } from "@chakra-ui/react";
-import { RiExchangeFundsFill } from "react-icons/ri";
-import { useState } from "react";
-import { type SupportedModel } from "~/server/types";
-import { ModelStatsCard } from "./ModelStatsCard";
-import { SelectModelSearch } from "./SelectModelSearch";
-import { api } from "~/utils/api";
-import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
-import CompareFunctions from "../RefinePromptModal/CompareFunctions";
 import { type PromptVariant } from "@prisma/client";
 import { isObject, isString } from "lodash-es";
+import { useState } from "react";
+import { RiExchangeFundsFill } from "react-icons/ri";
+import { type ProviderModel } from "~/modelProviders/types";
+import { api } from "~/utils/api";
+import { useExperiment, useHandledAsyncCallback, useVisibleScenarioIds } from "~/utils/hooks";
+import { lookupModel, modelLabel } from "~/utils/utils";
+import CompareFunctions from "../RefinePromptModal/CompareFunctions";
+import { ModelSearch } from "./ModelSearch";
+import { ModelStatsCard } from "./ModelStatsCard";
 
-export const SelectModelModal = ({
+export const ChangeModelModal = ({
   variant,
   onClose,
 }: {
   variant: PromptVariant;
   onClose: () => void;
 }) => {
-  const originalModel = variant.model as SupportedModel;
-  const [selectedModel, setSelectedModel] = useState<SupportedModel>(originalModel);
-  const [convertedModel, setConvertedModel] = useState<SupportedModel | undefined>(undefined);
+  const originalModel = lookupModel(variant.modelProvider, variant.model);
+  const [selectedModel, setSelectedModel] = useState({
+    provider: variant.modelProvider,
+    model: variant.model,
+  } as ProviderModel);
+  const [convertedModel, setConvertedModel] = useState<ProviderModel | undefined>();
+  const visibleScenarios = useVisibleScenarioIds();
+
   const utils = api.useContext();
 
   const experiment = useExperiment();
@@ -63,11 +69,17 @@ export const SelectModelModal = ({
     await replaceVariantMutation.mutateAsync({
       id: variant.id,
       constructFn: modifiedPromptFn,
+      streamScenarios: visibleScenarios,
     });
     await utils.promptVariants.list.invalidate();
     onClose();
   }, [replaceVariantMutation, variant, onClose, modifiedPromptFn]);
 
+  const originalLabel = modelLabel(variant.modelProvider, variant.model);
+  const selectedLabel = modelLabel(selectedModel.provider, selectedModel.model);
+  const convertedLabel =
+    convertedModel && modelLabel(convertedModel.provider, convertedModel.model);
+
   return (
     <Modal
       isOpen
@@ -86,16 +98,19 @@ export const SelectModelModal = ({
         <ModalBody maxW="unset">
           <VStack spacing={8}>
             <ModelStatsCard label="Original Model" model={originalModel} />
-            {originalModel !== selectedModel && (
-              <ModelStatsCard label="New Model" model={selectedModel} />
+            {originalLabel !== selectedLabel && (
+              <ModelStatsCard
+                label="New Model"
+                model={lookupModel(selectedModel.provider, selectedModel.model)}
+              />
             )}
-            <SelectModelSearch selectedModel={selectedModel} setSelectedModel={setSelectedModel} />
+            <ModelSearch selectedModel={selectedModel} setSelectedModel={setSelectedModel} />
             {isString(modifiedPromptFn) && (
               <CompareFunctions
                 originalFunction={variant.constructFn}
                 newFunction={modifiedPromptFn}
-                leftTitle={originalModel}
-                rightTitle={convertedModel}
+                leftTitle={originalLabel}
+                rightTitle={convertedLabel}
               />
             )}
           </VStack>
@@ -107,7 +122,7 @@ export const SelectModelModal = ({
               colorScheme="gray"
               onClick={getModifiedPromptFn}
               minW={24}
-              isDisabled={originalModel === selectedModel || modificationInProgress}
+              isDisabled={originalLabel === selectedLabel || modificationInProgress}
             >
               {modificationInProgress ? <Spinner boxSize={4} /> : <Text>Convert</Text>}
             </Button>

src/components/ChangeModelModal/ModelSearch.tsx

@@ -0,0 +1,36 @@
+import { Text, VStack } from "@chakra-ui/react";
+import { type LegacyRef } from "react";
+import Select from "react-select";
+import { useElementDimensions } from "~/utils/hooks";
+
+import { flatMap } from "lodash-es";
+import frontendModelProviders from "~/modelProviders/frontendModelProviders";
+import { type ProviderModel } from "~/modelProviders/types";
+import { modelLabel } from "~/utils/utils";
+
+const modelOptions = flatMap(Object.entries(frontendModelProviders), ([providerId, provider]) =>
+  Object.entries(provider.models).map(([modelId]) => ({
+    provider: providerId,
+    model: modelId,
+  })),
+) as ProviderModel[];
+
+export const ModelSearch = (props: {
+  selectedModel: ProviderModel;
+  setSelectedModel: (model: ProviderModel) => void;
+}) => {
+  const [containerRef, containerDimensions] = useElementDimensions();
+
+  return (
+    <VStack ref={containerRef as LegacyRef<HTMLDivElement>} w="full">
+      <Text>Browse Models</Text>
+      <Select<ProviderModel>
+        styles={{ control: (provided) => ({ ...provided, width: containerDimensions?.width }) }}
+        getOptionLabel={(data) => modelLabel(data.provider, data.model)}
+        getOptionValue={(data) => modelLabel(data.provider, data.model)}
+        options={modelOptions}
+        onChange={(option) => option && props.setSelectedModel(option)}
+      />
+    </VStack>
+  );
+};

src/components/ChangeModelModal/ModelStatsCard.tsx

@@ -0,0 +1,109 @@
+import {
+  GridItem,
+  HStack,
+  Link,
+  SimpleGrid,
+  Text,
+  VStack,
+  type StackProps,
+} from "@chakra-ui/react";
+import { type lookupModel } from "~/utils/utils";
+
+export const ModelStatsCard = ({
+  label,
+  model,
+}: {
+  label: string;
+  model: ReturnType<typeof lookupModel>;
+}) => {
+  if (!model) return null;
+  return (
+    <VStack w="full" align="start">
+      <Text fontWeight="bold" fontSize="sm" textTransform="uppercase">
+        {label}
+      </Text>
+
+      <VStack w="full" spacing={6} bgColor="gray.100" p={4} borderRadius={4}>
+        <HStack w="full" align="flex-start">
+          <Text flex={1} fontSize="lg">
+            <Text as="span" color="gray.600">
+              {model.provider} /{" "}
+            </Text>
+            <Text as="span" fontWeight="bold" color="gray.900">
+              {model.name}
+            </Text>
+          </Text>
+          <Link
+            href={model.learnMoreUrl}
+            isExternal
+            color="blue.500"
+            fontWeight="bold"
+            fontSize="sm"
+            ml={2}
+          >
+            Learn More
+          </Link>
+        </HStack>
+        <SimpleGrid
+          w="full"
+          justifyContent="space-between"
+          alignItems="flex-start"
+          fontSize="sm"
+          columns={{ base: 2, md: 4 }}
+        >
+          <SelectedModelLabeledInfo label="Context Window" info={model.contextWindow} />
+          {model.promptTokenPrice && (
+            <SelectedModelLabeledInfo
+              label="Input"
+              info={
+                <Text>
+                  ${(model.promptTokenPrice * 1000).toFixed(3)}
+                  <Text color="gray.500"> / 1K tokens</Text>
+                </Text>
+              }
+            />
+          )}
+          {model.completionTokenPrice && (
+            <SelectedModelLabeledInfo
+              label="Output"
+              info={
+                <Text>
+                  ${(model.completionTokenPrice * 1000).toFixed(3)}
+                  <Text color="gray.500"> / 1K tokens</Text>
+                </Text>
+              }
+            />
+          )}
+          {model.pricePerSecond && (
+            <SelectedModelLabeledInfo
+              label="Price"
+              info={
+                <Text>
+                  ${model.pricePerSecond.toFixed(3)}
+                  <Text color="gray.500"> / second</Text>
+                </Text>
+              }
+            />
+          )}
+          <SelectedModelLabeledInfo label="Speed" info={<Text>{model.speed}</Text>} />
+        </SimpleGrid>
+      </VStack>
+    </VStack>
+  );
+};
+
+const SelectedModelLabeledInfo = ({
+  label,
+  info,
+  ...props
+}: {
+  label: string;
+  info: string | number | React.ReactElement;
+} & StackProps) => (
+  <GridItem>
+    <VStack alignItems="flex-start" {...props}>
+      <Text fontWeight="bold">{label}</Text>
+      <Text>{info}</Text>
+    </VStack>
+  </GridItem>
+);

src/components/ExperimentSettingsDrawer/DeleteButton.tsx

@@ -0,0 +1,69 @@
+import {
+  Button,
+  Icon,
+  AlertDialog,
+  AlertDialogBody,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogContent,
+  AlertDialogOverlay,
+  useDisclosure,
+  Text,
+} from "@chakra-ui/react";
+
+import { useRouter } from "next/router";
+import { useRef } from "react";
+import { BsTrash } from "react-icons/bs";
+import { api } from "~/utils/api";
+import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
+
+export const DeleteButton = () => {
+  const experiment = useExperiment();
+  const mutation = api.experiments.delete.useMutation();
+  const utils = api.useContext();
+  const router = useRouter();
+
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
+    if (!experiment.data?.id) return;
+    await mutation.mutateAsync({ id: experiment.data.id });
+    await utils.experiments.list.invalidate();
+    await router.push({ pathname: "/experiments" });
+    onClose();
+  }, [mutation, experiment.data?.id, router]);
+
+  return (
+    <>
+      <Button size="sm" variant="ghost" colorScheme="red" fontWeight="normal" onClick={onOpen}>
+        <Icon as={BsTrash} boxSize={4} />
+        <Text ml={2}>Delete Experiment</Text>
+      </Button>
+
+      <AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
+        <AlertDialogOverlay>
+          <AlertDialogContent>
+            <AlertDialogHeader fontSize="lg" fontWeight="bold">
+              Delete Experiment
+            </AlertDialogHeader>
+
+            <AlertDialogBody>
+              If you delete this experiment all the associated prompts and scenarios will be deleted
+              as well. Are you sure?
+            </AlertDialogBody>
+
+            <AlertDialogFooter>
+              <Button ref={cancelRef} onClick={onClose}>
+                Cancel
+              </Button>
+              <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
+                Delete
+              </Button>
+            </AlertDialogFooter>
+          </AlertDialogContent>
+        </AlertDialogOverlay>
+      </AlertDialog>
+    </>
+  );
+};

src/components/ExperimentSettingsDrawer/ExperimentSettingsDrawer.tsx

@@ -6,13 +6,14 @@ import {
   DrawerHeader,
   DrawerOverlay,
   Heading,
-  Stack,
+  VStack,
 } from "@chakra-ui/react";
-import EditScenarioVars from "./EditScenarioVars";
-import EditEvaluations from "./EditEvaluations";
+import EditScenarioVars from "../OutputsTable/EditScenarioVars";
+import EditEvaluations from "../OutputsTable/EditEvaluations";
 import { useAppStore } from "~/state/store";
+import { DeleteButton } from "./DeleteButton";
 
-export default function SettingsDrawer() {
+export default function ExperimentSettingsDrawer() {
   const isOpen = useAppStore((state) => state.drawerOpen);
   const closeDrawer = useAppStore((state) => state.closeDrawer);
 
@@ -22,13 +23,16 @@ export default function SettingsDrawer() {
       <DrawerContent>
         <DrawerCloseButton />
         <DrawerHeader>
-          <Heading size="md">Settings</Heading>
+          <Heading size="md">Experiment Settings</Heading>
         </DrawerHeader>
-        <DrawerBody>
-          <Stack spacing={6}>
-            <EditScenarioVars />
-            <EditEvaluations />
-          </Stack>
+        <DrawerBody h="full" pb={4}>
+          <VStack h="full" justifyContent="space-between">
+            <VStack spacing={6}>
+              <EditScenarioVars />
+              <EditEvaluations />
+            </VStack>
+            <DeleteButton />
+          </VStack>
         </DrawerBody>
       </DrawerContent>
     </Drawer>

src/components/OutputsTable/AddVariantButton.tsx

@@ -0,0 +1,57 @@
+import { Box, Flex, Icon, Spinner } from "@chakra-ui/react";
+import { BsPlus } from "react-icons/bs";
+import { Text } from "@chakra-ui/react";
+import { api } from "~/utils/api";
+import {
+  useExperiment,
+  useExperimentAccess,
+  useHandledAsyncCallback,
+  useVisibleScenarioIds,
+} from "~/utils/hooks";
+import { cellPadding } from "../constants";
+import { ActionButton } from "./ScenariosHeader";
+
+export default function AddVariantButton() {
+  const experiment = useExperiment();
+  const mutation = api.promptVariants.create.useMutation();
+  const utils = api.useContext();
+  const visibleScenarios = useVisibleScenarioIds();
+
+  const [onClick, loading] = useHandledAsyncCallback(async () => {
+    if (!experiment.data) return;
+    await mutation.mutateAsync({
+      experimentId: experiment.data.id,
+      streamScenarios: visibleScenarios,
+    });
+    await utils.promptVariants.list.invalidate();
+  }, [mutation]);
+
+  const { canModify } = useExperimentAccess();
+  if (!canModify) return <Box w={cellPadding.x} />;
+
+  return (
+    <Flex w="100%" justifyContent="flex-end">
+      <ActionButton
+        onClick={onClick}
+        py={5}
+        leftIcon={<Icon as={loading ? Spinner : BsPlus} boxSize={6} mr={loading ? 1 : 0} />}
+      >
+        <Text display={{ base: "none", md: "flex" }}>Add Variant</Text>
+      </ActionButton>
+      {/* <Button
+        alignItems="center"
+        justifyContent="center"
+        fontWeight="normal"
+        bgColor="transparent"
+        _hover={{ bgColor: "gray.100" }}
+        px={cellPadding.x}
+        onClick={onClick}
+        height="unset"
+        minH={headerMinHeight}
+      >
+        <Icon as={loading ? Spinner : BsPlus} boxSize={6} mr={loading ? 1 : 0} />
+        <Text display={{ base: "none", md: "flex" }}>Add Variant</Text>
+      </Button> */}
+    </Flex>
+  );
+}

src/components/OutputsTable/NewScenarioButton.tsx

@@ -1,61 +0,0 @@
-import { Button, type ButtonProps, HStack, Spinner, Icon } from "@chakra-ui/react";
-import { BsPlus } from "react-icons/bs";
-import { api } from "~/utils/api";
-import { useExperiment, useExperimentAccess, useHandledAsyncCallback } from "~/utils/hooks";
-
-// Extracted Button styling into reusable component
-const StyledButton = ({ children, onClick }: ButtonProps) => (
-  <Button
-    fontWeight="normal"
-    bgColor="transparent"
-    _hover={{ bgColor: "gray.100" }}
-    px={2}
-    onClick={onClick}
-  >
-    {children}
-  </Button>
-);
-
-export default function NewScenarioButton() {
-  const { canModify } = useExperimentAccess();
-
-  const experiment = useExperiment();
-  const mutation = api.scenarios.create.useMutation();
-  const utils = api.useContext();
-
-  const [onClick] = useHandledAsyncCallback(async () => {
-    if (!experiment.data) return;
-    await mutation.mutateAsync({
-      experimentId: experiment.data.id,
-    });
-    await utils.scenarios.list.invalidate();
-  }, [mutation]);
-
-  const [onAutogenerate, autogenerating] = useHandledAsyncCallback(async () => {
-    if (!experiment.data) return;
-    await mutation.mutateAsync({
-      experimentId: experiment.data.id,
-      autogenerate: true,
-    });
-    await utils.scenarios.list.invalidate();
-  }, [mutation]);
-
-  if (!canModify) return null;
-
-  return (
-    <HStack spacing={2}>
-      <StyledButton onClick={onClick}>
-        <Icon as={BsPlus} boxSize={6} />
-        Add Scenario
-      </StyledButton>
-      <StyledButton onClick={onAutogenerate}>
-        <Icon
-          as={autogenerating ? Spinner : BsPlus}
-          boxSize={autogenerating ? 4 : 6}
-          mr={autogenerating ? 2 : 0}
-        />
-        Autogenerate Scenario
-      </StyledButton>
-    </HStack>
-  );
-}

src/components/OutputsTable/NewVariantButton.tsx

@@ -1,40 +0,0 @@
-import { Box, Button, Icon, Spinner, Text } from "@chakra-ui/react";
-import { BsPlus } from "react-icons/bs";
-import { api } from "~/utils/api";
-import { useExperiment, useExperimentAccess, useHandledAsyncCallback } from "~/utils/hooks";
-import { cellPadding, headerMinHeight } from "../constants";
-
-export default function NewVariantButton() {
-  const experiment = useExperiment();
-  const mutation = api.promptVariants.create.useMutation();
-  const utils = api.useContext();
-
-  const [onClick, loading] = useHandledAsyncCallback(async () => {
-    if (!experiment.data) return;
-    await mutation.mutateAsync({
-      experimentId: experiment.data.id,
-    });
-    await utils.promptVariants.list.invalidate();
-  }, [mutation]);
-
-  const { canModify } = useExperimentAccess();
-  if (!canModify) return <Box w={cellPadding.x} />;
-
-  return (
-    <Button
-      w="100%"
-      alignItems="center"
-      justifyContent="center"
-      fontWeight="normal"
-      bgColor="transparent"
-      _hover={{ bgColor: "gray.100" }}
-      px={cellPadding.x}
-      onClick={onClick}
-      height="unset"
-      minH={headerMinHeight}
-    >
-      <Icon as={loading ? Spinner : BsPlus} boxSize={6} mr={loading ? 1 : 0} />
-      <Text display={{ base: "none", md: "flex" }}>Add Variant</Text>
-    </Button>
-  );
-}

src/components/OutputsTable/OutputCell/CellContent.tsx

@@ -0,0 +1,19 @@
+import { type StackProps, VStack } from "@chakra-ui/react";
+import { CellOptions } from "./CellOptions";
+
+export const CellContent = ({
+  hardRefetch,
+  hardRefetching,
+  children,
+  ...props
+}: {
+  hardRefetch: () => void;
+  hardRefetching: boolean;
+} & StackProps) => (
+  <VStack w="full" alignItems="flex-start" {...props}>
+    <CellOptions refetchingOutput={hardRefetching} refetchOutput={hardRefetch} />
+    <VStack w="full" alignItems="flex-start" maxH={500} overflowY="auto">
+      {children}
+    </VStack>
+  </VStack>
+);

src/components/OutputsTable/OutputCell/CellOptions.tsx

@@ -1,4 +1,4 @@
-import { Button, HStack, Icon, Tooltip } from "@chakra-ui/react";
+import { Button, HStack, Icon, Spinner, Tooltip } from "@chakra-ui/react";
 import { BsArrowClockwise } from "react-icons/bs";
 import { useExperimentAccess } from "~/utils/hooks";
 
@@ -12,7 +12,7 @@ export const CellOptions = ({
   const { canModify } = useExperimentAccess();
   return (
     <HStack justifyContent="flex-end" w="full">
-      {!refetchingOutput && canModify && (
+      {canModify && (
         <Tooltip label="Refetch output" aria-label="refetch output">
           <Button
             size="xs"
@@ -28,7 +28,7 @@ export const CellOptions = ({
             onClick={refetchOutput}
             aria-label="refetch output"
           >
-            <Icon as={BsArrowClockwise} boxSize={4} />
+            <Icon as={refetchingOutput ? Spinner : BsArrowClockwise} boxSize={4} />
           </Button>
         </Tooltip>
       )}

src/components/OutputsTable/OutputCell/OutputCell.tsx

@@ -1,16 +1,19 @@
 import { api } from "~/utils/api";
 import { type PromptVariant, type Scenario } from "../types";
-import { Spinner, Text, Center, VStack } from "@chakra-ui/react";
+import { Text, VStack } from "@chakra-ui/react";
 import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
 import SyntaxHighlighter from "react-syntax-highlighter";
 import { docco } from "react-syntax-highlighter/dist/cjs/styles/hljs";
 import stringify from "json-stringify-pretty-compact";
-import { type ReactElement, useState, useEffect } from "react";
+import { type ReactElement, useState, useEffect, Fragment } from "react";
 import useSocket from "~/utils/useSocket";
 import { OutputStats } from "./OutputStats";
-import { ErrorHandler } from "./ErrorHandler";
-import { CellOptions } from "./CellOptions";
+import { RetryCountdown } from "./RetryCountdown";
 import frontendModelProviders from "~/modelProviders/frontendModelProviders";
+import { ResponseLog } from "./ResponseLog";
+import { CellContent } from "./CellContent";
+
+const WAITING_MESSAGE_INTERVAL = 20000;
 
 export default function OutputCell({
   scenario,
@@ -60,40 +63,97 @@ export default function OutputCell({
 
   const awaitingOutput =
     !cell ||
+    !cell.evalsComplete ||
     cell.retrievalStatus === "PENDING" ||
     cell.retrievalStatus === "IN_PROGRESS" ||
     hardRefetching;
   useEffect(() => setRefetchInterval(awaitingOutput ? 1000 : 0), [awaitingOutput]);
 
-  const modelOutput = cell?.modelOutput;
-
-  // Disconnect from socket if we're not streaming anymore
-  const streamedMessage = useSocket<OutputSchema>(cell?.streamingChannel);
+  // TODO: disconnect from socket if we're not streaming anymore
+  const streamedMessage = useSocket<OutputSchema>(cell?.id);
 
   if (!vars) return null;
 
-  if (disabledReason) return <Text color="gray.500">{disabledReason}</Text>;
-
-  if (awaitingOutput && !streamedMessage)
+  if (!cell && !fetchingOutput)
     return (
-      <Center h="100%" w="100%">
-        <Spinner />
-      </Center>
+      <CellContent hardRefetching={hardRefetching} hardRefetch={hardRefetch}>
+        <Text color="gray.500">Error retrieving output</Text>
+      </CellContent>
     );
 
-  if (!cell && !fetchingOutput) return <Text color="gray.500">Error retrieving output</Text>;
-
   if (cell && cell.errorMessage) {
-    return <ErrorHandler cell={cell} refetchOutput={hardRefetch} />;
+    return (
+      <CellContent hardRefetching={hardRefetching} hardRefetch={hardRefetch}>
+        <Text color="red.500">{cell.errorMessage}</Text>
+      </CellContent>
+    );
   }
 
-  const normalizedOutput = modelOutput
-    ? provider.normalizeOutput(modelOutput.output)
+  if (disabledReason) return <Text color="gray.500">{disabledReason}</Text>;
+
+  const mostRecentResponse = cell?.modelResponses[cell.modelResponses.length - 1];
+  const showLogs = !streamedMessage && !mostRecentResponse?.output;
+
+  if (showLogs)
+    return (
+      <CellContent
+        hardRefetching={hardRefetching}
+        hardRefetch={hardRefetch}
+        alignItems="flex-start"
+        fontFamily="inconsolata, monospace"
+        spacing={0}
+      >
+        {cell?.jobQueuedAt && <ResponseLog time={cell.jobQueuedAt} title="Job queued" />}
+        {cell?.jobStartedAt && <ResponseLog time={cell.jobStartedAt} title="Job started" />}
+        {cell?.modelResponses?.map((response) => {
+          let numWaitingMessages = 0;
+          const relativeWaitingTime = response.receivedAt
+            ? response.receivedAt.getTime()
+            : Date.now();
+          if (response.requestedAt) {
+            numWaitingMessages = Math.floor(
+              (relativeWaitingTime - response.requestedAt.getTime()) / WAITING_MESSAGE_INTERVAL,
+            );
+          }
+          return (
+            <Fragment key={response.id}>
+              {response.requestedAt && (
+                <ResponseLog time={response.requestedAt} title="Request sent to API" />
+              )}
+              {response.requestedAt &&
+                Array.from({ length: numWaitingMessages }, (_, i) => (
+                  <ResponseLog
+                    key={`waiting-${i}`}
+                    // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+                    time={new Date(response.requestedAt!.getTime() + i * WAITING_MESSAGE_INTERVAL)}
+                    title="Waiting for response"
+                  />
+                ))}
+              {response.receivedAt && (
+                <ResponseLog
+                  time={response.receivedAt}
+                  title="Response received from API"
+                  message={`statusCode: ${response.statusCode ?? ""}\n ${
+                    response.errorMessage ?? ""
+                  }`}
+                />
+              )}
+            </Fragment>
+          );
+        }) ?? null}
+        {mostRecentResponse?.retryTime && (
+          <RetryCountdown retryTime={mostRecentResponse.retryTime} />
+        )}
+      </CellContent>
+    );
+
+  const normalizedOutput = mostRecentResponse?.output
+    ? provider.normalizeOutput(mostRecentResponse?.output)
     : streamedMessage
     ? provider.normalizeOutput(streamedMessage)
     : null;
 
-  if (modelOutput && normalizedOutput?.type === "json") {
+  if (mostRecentResponse?.output && normalizedOutput?.type === "json") {
     return (
       <VStack
         w="100%"
@@ -103,8 +163,13 @@ export default function OutputCell({
         overflowX="hidden"
         justifyContent="space-between"
       >
-        <VStack w="full" flex={1} spacing={0}>
-          <CellOptions refetchingOutput={hardRefetching} refetchOutput={hardRefetch} />
+        <CellContent
+          hardRefetching={hardRefetching}
+          hardRefetch={hardRefetch}
+          w="full"
+          flex={1}
+          spacing={0}
+        >
           <SyntaxHighlighter
             customStyle={{ overflowX: "unset", width: "100%", flex: 1 }}
             language="json"
@@ -116,8 +181,8 @@ export default function OutputCell({
           >
             {stringify(normalizedOutput.value, { maxLength: 40 })}
           </SyntaxHighlighter>
-        </VStack>
-        <OutputStats modelOutput={modelOutput} scenario={scenario} />
+        </CellContent>
+        <OutputStats modelResponse={mostRecentResponse} scenario={scenario} />
       </VStack>
     );
   }
@@ -127,10 +192,13 @@ export default function OutputCell({
   return (
     <VStack w="100%" h="100%" justifyContent="space-between" whiteSpace="pre-wrap">
       <VStack w="full" alignItems="flex-start" spacing={0}>
-        <CellOptions refetchingOutput={hardRefetching} refetchOutput={hardRefetch} />
-        <Text>{contentToDisplay}</Text>
+        <CellContent hardRefetching={hardRefetching} hardRefetch={hardRefetch}>
+          <Text>{contentToDisplay}</Text>
+        </CellContent>
       </VStack>
-      {modelOutput && <OutputStats modelOutput={modelOutput} scenario={scenario} />}
+      {mostRecentResponse?.output && (
+        <OutputStats modelResponse={mostRecentResponse} scenario={scenario} />
+      )}
     </VStack>
   );
 }

src/components/OutputsTable/OutputCell/OutputStats.tsx

@@ -7,28 +7,32 @@ import { CostTooltip } from "~/components/tooltip/CostTooltip";
 const SHOW_TIME = true;
 
 export const OutputStats = ({
-  modelOutput,
+  modelResponse,
 }: {
-  modelOutput: NonNullable<
-    NonNullable<RouterOutputs["scenarioVariantCells"]["get"]>["modelOutput"]
+  modelResponse: NonNullable<
+    NonNullable<RouterOutputs["scenarioVariantCells"]["get"]>["modelResponses"][0]
   >;
   scenario: Scenario;
 }) => {
-  const timeToComplete = modelOutput.timeToComplete;
+  const timeToComplete =
+    modelResponse.receivedAt && modelResponse.requestedAt
+      ? modelResponse.receivedAt.getTime() - modelResponse.requestedAt.getTime()
+      : 0;
 
-  const promptTokens = modelOutput.promptTokens;
-  const completionTokens = modelOutput.completionTokens;
+  const promptTokens = modelResponse.promptTokens;
+  const completionTokens = modelResponse.completionTokens;
 
   return (
     <HStack w="full" align="center" color="gray.500" fontSize="2xs" mt={{ base: 0, md: 1 }}>
       <HStack flex={1}>
-        {modelOutput.outputEvaluation.map((evaluation) => {
+        {modelResponse.outputEvaluations.map((evaluation) => {
           const passed = evaluation.result > 0.5;
           return (
             <Tooltip
               isDisabled={!evaluation.details}
               label={evaluation.details}
               key={evaluation.id}
+              shouldWrapChildren
             >
               <HStack spacing={0}>
                 <Text>{evaluation.evaluation.label}</Text>
@@ -42,15 +46,15 @@ export const OutputStats = ({
           );
         })}
       </HStack>
-      {modelOutput.cost && (
+      {modelResponse.cost && (
         <CostTooltip
           promptTokens={promptTokens}
           completionTokens={completionTokens}
-          cost={modelOutput.cost}
+          cost={modelResponse.cost}
         >
           <HStack spacing={0}>
             <Icon as={BsCurrencyDollar} />
-            <Text mr={1}>{modelOutput.cost.toFixed(3)}</Text>
+            <Text mr={1}>{modelResponse.cost.toFixed(3)}</Text>
           </HStack>
         </CostTooltip>
       )}

src/components/OutputsTable/OutputCell/ResponseLog.tsx

@@ -0,0 +1,22 @@
+import { HStack, VStack, Text } from "@chakra-ui/react";
+import dayjs from "dayjs";
+
+export const ResponseLog = ({
+  time,
+  title,
+  message,
+}: {
+  time: Date;
+  title: string;
+  message?: string;
+}) => {
+  return (
+    <VStack spacing={0} alignItems="flex-start">
+      <HStack>
+        <Text>{dayjs(time).format("HH:mm:ss")}</Text>
+        <Text>{title}</Text>
+      </HStack>
+      {message && <Text pl={4}>{message}</Text>}
+    </VStack>
+  );
+};

src/components/OutputsTable/OutputCell/RetryCountdown.tsx

@@ -1,21 +1,12 @@
-import { type ScenarioVariantCell } from "@prisma/client";
-import { VStack, Text } from "@chakra-ui/react";
+import { Text } from "@chakra-ui/react";
 import { useEffect, useState } from "react";
 import pluralize from "pluralize";
 
-export const ErrorHandler = ({
-  cell,
-  refetchOutput,
-}: {
-  cell: ScenarioVariantCell;
-  refetchOutput: () => void;
-}) => {
+export const RetryCountdown = ({ retryTime }: { retryTime: Date }) => {
   const [msToWait, setMsToWait] = useState(0);
 
   useEffect(() => {
-    if (!cell.retryTime) return;
-
-    const initialWaitTime = cell.retryTime.getTime() - Date.now();
+    const initialWaitTime = retryTime.getTime() - Date.now();
     const msModuloOneSecond = initialWaitTime % 1000;
     let remainingTime = initialWaitTime - msModuloOneSecond;
     setMsToWait(remainingTime);
@@ -36,18 +27,13 @@ export const ErrorHandler = ({
       clearInterval(interval);
       clearTimeout(timeout);
     };
-  }, [cell.retryTime, cell.statusCode, setMsToWait, refetchOutput]);
+  }, [retryTime]);
+
+  if (msToWait <= 0) return null;
 
   return (
-    <VStack w="full">
-      <Text color="red.600" wordBreak="break-word">
-        {cell.errorMessage}
-      </Text>
-      {msToWait > 0 && (
-        <Text color="red.600" fontSize="sm">
-          Retrying in {pluralize("second", Math.ceil(msToWait / 1000), true)}...
-        </Text>
-      )}
-    </VStack>
+    <Text color="red.600" fontSize="sm">
+      Retrying in {pluralize("second", Math.ceil(msToWait / 1000), true)}...
+    </Text>
   );
 };

src/components/OutputsTable/ScenarioPaginator.tsx

@@ -0,0 +1,74 @@
+import { Box, HStack, IconButton } from "@chakra-ui/react";
+import {
+  BsChevronDoubleLeft,
+  BsChevronDoubleRight,
+  BsChevronLeft,
+  BsChevronRight,
+} from "react-icons/bs";
+import { usePage, useScenarios } from "~/utils/hooks";
+
+const ScenarioPaginator = () => {
+  const [page, setPage] = usePage();
+  const { data } = useScenarios();
+
+  if (!data) return null;
+
+  const { scenarios, startIndex, lastPage, count } = data;
+
+  const nextPage = () => {
+    if (page < lastPage) {
+      setPage(page + 1, "replace");
+    }
+  };
+
+  const prevPage = () => {
+    if (page > 1) {
+      setPage(page - 1, "replace");
+    }
+  };
+
+  const goToLastPage = () => setPage(lastPage, "replace");
+  const goToFirstPage = () => setPage(1, "replace");
+
+  return (
+    <HStack pt={4}>
+      <IconButton
+        variant="ghost"
+        size="sm"
+        onClick={goToFirstPage}
+        isDisabled={page === 1}
+        aria-label="Go to first page"
+        icon={<BsChevronDoubleLeft />}
+      />
+      <IconButton
+        variant="ghost"
+        size="sm"
+        onClick={prevPage}
+        isDisabled={page === 1}
+        aria-label="Previous page"
+        icon={<BsChevronLeft />}
+      />
+      <Box>
+        {startIndex}-{startIndex + scenarios.length - 1} / {count}
+      </Box>
+      <IconButton
+        variant="ghost"
+        size="sm"
+        onClick={nextPage}
+        isDisabled={page === lastPage}
+        aria-label="Next page"
+        icon={<BsChevronRight />}
+      />
+      <IconButton
+        variant="ghost"
+        size="sm"
+        onClick={goToLastPage}
+        isDisabled={page === lastPage}
+        aria-label="Go to last page"
+        icon={<BsChevronDoubleRight />}
+      />
+    </HStack>
+  );
+};
+
+export default ScenarioPaginator;

src/components/OutputsTable/ScenarioRow.tsx

@@ -4,11 +4,13 @@ import { cellPadding } from "../constants";
 import OutputCell from "./OutputCell/OutputCell";
 import ScenarioEditor from "./ScenarioEditor";
 import type { PromptVariant, Scenario } from "./types";
+import { borders } from "./styles";
 
 const ScenarioRow = (props: {
   scenario: Scenario;
   variants: PromptVariant[];
   canHide: boolean;
+  rowStart: number;
 }) => {
   const [isHovered, setIsHovered] = useState(false);
 
@@ -21,15 +23,21 @@ const ScenarioRow = (props: {
         onMouseLeave={() => setIsHovered(false)}
         sx={isHovered ? highlightStyle : undefined}
         borderLeftWidth={1}
+        {...borders}
+        rowStart={props.rowStart}
+        colStart={1}
       >
         <ScenarioEditor scenario={props.scenario} hovered={isHovered} canHide={props.canHide} />
       </GridItem>
-      {props.variants.map((variant) => (
+      {props.variants.map((variant, i) => (
         <GridItem
           key={variant.id}
           onMouseEnter={() => setIsHovered(true)}
           onMouseLeave={() => setIsHovered(false)}
           sx={isHovered ? highlightStyle : undefined}
+          rowStart={props.rowStart}
+          colStart={i + 2}
+          {...borders}
         >
           <Box h="100%" w="100%" px={cellPadding.x} py={cellPadding.y}>
             <OutputCell key={variant.id} scenario={props.scenario} variant={variant} />

src/components/OutputsTable/ScenariosHeader.tsx

@@ -1,52 +1,82 @@
-import { Button, GridItem, HStack, Heading } from "@chakra-ui/react";
+import {
+  Button,
+  type ButtonProps,
+  HStack,
+  Text,
+  Icon,
+  Menu,
+  MenuButton,
+  MenuList,
+  MenuItem,
+  IconButton,
+  Spinner,
+} from "@chakra-ui/react";
 import { cellPadding } from "../constants";
-import { useElementDimensions, useExperimentAccess } from "~/utils/hooks";
-import { stickyHeaderStyle } from "./styles";
-import { BsPencil } from "react-icons/bs";
+import {
+  useExperiment,
+  useExperimentAccess,
+  useHandledAsyncCallback,
+  useScenarios,
+} from "~/utils/hooks";
+import { BsGear, BsPencil, BsPlus, BsStars } from "react-icons/bs";
 import { useAppStore } from "~/state/store";
+import { api } from "~/utils/api";
 
-export const ScenariosHeader = ({
-  headerRows,
-  numScenarios,
-}: {
-  headerRows: number;
-  numScenarios: number;
-}) => {
+export const ActionButton = (props: ButtonProps) => (
+  <Button size="sm" variant="ghost" color="gray.600" {...props} />
+);
+
+export const ScenariosHeader = () => {
   const openDrawer = useAppStore((s) => s.openDrawer);
   const { canModify } = useExperimentAccess();
+  const scenarios = useScenarios();
 
-  const [ref, dimensions] = useElementDimensions();
-  const topValue = dimensions ? `-${dimensions.height - 24}px` : "-455px";
+  const experiment = useExperiment();
+  const createScenarioMutation = api.scenarios.create.useMutation();
+  const utils = api.useContext();
+
+  const [onAddScenario, loading] = useHandledAsyncCallback(
+    async (autogenerate: boolean) => {
+      if (!experiment.data) return;
+      await createScenarioMutation.mutateAsync({
+        experimentId: experiment.data.id,
+        autogenerate,
+      });
+      await utils.scenarios.list.invalidate();
+    },
+    [createScenarioMutation],
+  );
 
   return (
-    <GridItem
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      ref={ref as any}
-      display="flex"
-      alignItems="flex-end"
-      rowSpan={headerRows}
-      px={cellPadding.x}
-      py={cellPadding.y}
-      // Only display the part of the grid item that has content
-      sx={{ ...stickyHeaderStyle, top: topValue }}
-    >
-      <HStack w="100%">
-        <Heading size="xs" fontWeight="bold" flex={1}>
-          Scenarios ({numScenarios})
-        </Heading>
-        {canModify && (
-          <Button
-            size="xs"
+    <HStack w="100%" pb={cellPadding.y} pt={0} align="center" spacing={0}>
+      <Text fontSize={16} fontWeight="bold">
+        Scenarios ({scenarios.data?.count})
+      </Text>
+      {canModify && (
+        <Menu>
+          <MenuButton
+            as={IconButton}
+            mt={1}
             variant="ghost"
-            color="gray.500"
-            aria-label="Edit"
-            leftIcon={<BsPencil />}
-            onClick={openDrawer}
-          >
-            Edit Vars
-          </Button>
-        )}
-      </HStack>
-    </GridItem>
+            aria-label="Edit Scenarios"
+            icon={<Icon as={loading ? Spinner : BsGear} />}
+          />
+          <MenuList fontSize="md" zIndex="dropdown" mt={-3}>
+            <MenuItem
+              icon={<Icon as={BsPlus} boxSize={6} mx="-5px" />}
+              onClick={() => onAddScenario(false)}
+            >
+              Add Scenario
+            </MenuItem>
+            <MenuItem icon={<BsStars />} onClick={() => onAddScenario(true)}>
+              Autogenerate Scenario
+            </MenuItem>
+            <MenuItem icon={<BsPencil />} onClick={openDrawer}>
+              Edit Vars
+            </MenuItem>
+          </MenuList>
+        </Menu>
+      )}
+    </HStack>
   );
 };

src/components/OutputsTable/VariantEditor.tsx

@@ -1,17 +1,52 @@
-import { Box, Button, HStack, Spinner, Tooltip, useToast, Text } from "@chakra-ui/react";
-import { useRef, useEffect, useState, useCallback } from "react";
-import { useExperimentAccess, useHandledAsyncCallback, useModifierKeyLabel } from "~/utils/hooks";
-import { type PromptVariant } from "./types";
-import { api } from "~/utils/api";
+import {
+  Box,
+  Button,
+  HStack,
+  IconButton,
+  Spinner,
+  Text,
+  Tooltip,
+  useToast,
+} from "@chakra-ui/react";
+import { useCallback, useEffect, useRef, useState } from "react";
+import { FiMaximize, FiMinimize } from "react-icons/fi";
+import { editorBackground } from "~/state/sharedVariantEditor.slice";
 import { useAppStore } from "~/state/store";
+import { api } from "~/utils/api";
+import {
+  useExperimentAccess,
+  useHandledAsyncCallback,
+  useModifierKeyLabel,
+  useVisibleScenarioIds,
+} from "~/utils/hooks";
+import { type PromptVariant } from "./types";
 
 export default function VariantEditor(props: { variant: PromptVariant }) {
   const { canModify } = useExperimentAccess();
   const monaco = useAppStore.use.sharedVariantEditor.monaco();
   const editorRef = useRef<ReturnType<NonNullable<typeof monaco>["editor"]["create"]> | null>(null);
+  const containerRef = useRef<HTMLDivElement | null>(null);
   const [editorId] = useState(() => `editor_${Math.random().toString(36).substring(7)}`);
   const [isChanged, setIsChanged] = useState(false);
 
+  const [isFullscreen, setIsFullscreen] = useState(false);
+
+  const toggleFullscreen = useCallback(() => {
+    setIsFullscreen((prev) => !prev);
+    editorRef.current?.focus();
+  }, [setIsFullscreen]);
+
+  useEffect(() => {
+    const handleEsc = (event: KeyboardEvent) => {
+      if (event.key === "Escape" && isFullscreen) {
+        toggleFullscreen();
+      }
+    };
+
+    window.addEventListener("keydown", handleEsc);
+    return () => window.removeEventListener("keydown", handleEsc);
+  }, [isFullscreen, toggleFullscreen]);
+
   const lastSavedFn = props.variant.constructFn;
 
   const modifierKey = useModifierKeyLabel();
@@ -33,6 +68,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
   const replaceVariant = api.promptVariants.replaceVariant.useMutation();
   const utils = api.useContext();
   const toast = useToast();
+  const visibleScenarios = useVisibleScenarioIds();
 
   const [onSave, saveInProgress] = useHandledAsyncCallback(async () => {
     if (!editorRef.current) return;
@@ -61,6 +97,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
     const resp = await replaceVariant.mutateAsync({
       id: props.variant.id,
       constructFn: currentFn,
+      streamScenarios: visibleScenarios,
     });
     if (resp.status === "error") {
       return toast({
@@ -99,11 +136,23 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
         readOnly: !canModify,
       });
 
+      // Workaround because otherwise the commands only work on whatever
+      // editor was loaded on the page last.
+      // https://github.com/microsoft/monaco-editor/issues/2947#issuecomment-1422265201
       editorRef.current.onDidFocusEditorText(() => {
-        // Workaround because otherwise the command only works on whatever
-        // editor was loaded on the page last.
-        // https://github.com/microsoft/monaco-editor/issues/2947#issuecomment-1422265201
-        editorRef.current?.addCommand(monaco.KeyMod.CtrlCmd | monaco.KeyCode.Enter, onSave);
+        editorRef.current?.addCommand(monaco.KeyMod.CtrlCmd | monaco.KeyCode.KeyS, onSave);
+
+        editorRef.current?.addCommand(
+          monaco.KeyMod.CtrlCmd | monaco.KeyMod.Shift | monaco.KeyCode.KeyF,
+          toggleFullscreen,
+        );
+
+        // Exit fullscreen with escape
+        editorRef.current?.addCommand(monaco.KeyCode.Escape, () => {
+          if (isFullscreen) {
+            toggleFullscreen();
+          }
+        });
       });
 
       editorRef.current.onDidChangeModelContent(checkForChanges);
@@ -132,8 +181,40 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
   }, [canModify]);
 
   return (
-    <Box w="100%" pos="relative">
-      <div id={editorId} style={{ height: "400px", width: "100%" }}></div>
+    <Box
+      w="100%"
+      ref={containerRef}
+      sx={
+        isFullscreen
+          ? {
+              position: "fixed",
+              top: 0,
+              left: 0,
+              right: 0,
+              bottom: 0,
+            }
+          : { h: "400px", w: "100%" }
+      }
+      bgColor={editorBackground}
+      zIndex={isFullscreen ? 1000 : "unset"}
+      pos="relative"
+      _hover={{ ".fullscreen-toggle": { opacity: 1 } }}
+    >
+      <Box id={editorId} w="100%" h="100%" />
+      <Tooltip label={`${modifierKey} + ⇧ + F`}>
+        <IconButton
+          className="fullscreen-toggle"
+          aria-label="Minimize"
+          icon={isFullscreen ? <FiMinimize /> : <FiMaximize />}
+          position="absolute"
+          top={2}
+          right={2}
+          onClick={toggleFullscreen}
+          opacity={0}
+          transition="opacity 0.2s"
+        />
+      </Tooltip>
+
       {isChanged && (
         <HStack pos="absolute" bottom={2} right={2}>
           <Button
@@ -146,7 +227,7 @@ export default function VariantEditor(props: { variant: PromptVariant }) {
           >
             Reset
           </Button>
-          <Tooltip label={`${modifierKey} + Enter`}>
+          <Tooltip label={`${modifierKey} + S`}>
             <Button size="sm" onClick={onSave} colorScheme="blue" w={16} disabled={saveInProgress}>
               {saveInProgress ? <Spinner boxSize={4} /> : <Text>Save</Text>}
             </Button>

src/components/OutputsTable/VariantStats.tsx

@@ -21,17 +21,14 @@ export default function VariantStats(props: { variant: PromptVariant }) {
         completionTokens: 0,
         scenarioCount: 0,
         outputCount: 0,
-        awaitingRetrievals: false,
+        awaitingEvals: false,
       },
       refetchInterval,
     },
   );
 
   // Poll every two seconds while we are waiting for LLM retrievals to finish
-  useEffect(
-    () => setRefetchInterval(data.awaitingRetrievals ? 2000 : 0),
-    [data.awaitingRetrievals],
-  );
+  useEffect(() => setRefetchInterval(data.awaitingEvals ? 5000 : 0), [data.awaitingEvals]);
 
   const [passColor, neutralColor, failColor] = useToken("colors", [
     "green.500",
@@ -69,7 +66,7 @@ export default function VariantStats(props: { variant: PromptVariant }) {
           );
         })}
       </HStack>
-      {data.overallCost && !data.awaitingRetrievals && (
+      {data.overallCost && (
         <CostTooltip
           promptTokens={data.promptTokens}
           completionTokens={data.completionTokens}

src/components/OutputsTable/index.tsx

@@ -1,82 +1,124 @@
-import { Grid, GridItem } from "@chakra-ui/react";
+import { Grid, GridItem, type GridItemProps } from "@chakra-ui/react";
 import { api } from "~/utils/api";
-import NewScenarioButton from "./NewScenarioButton";
-import NewVariantButton from "./NewVariantButton";
+import AddVariantButton from "./AddVariantButton";
 import ScenarioRow from "./ScenarioRow";
 import VariantEditor from "./VariantEditor";
 import VariantHeader from "../VariantHeader/VariantHeader";
 import VariantStats from "./VariantStats";
 import { ScenariosHeader } from "./ScenariosHeader";
-import { stickyHeaderStyle } from "./styles";
+import { borders } from "./styles";
+import { useScenarios } from "~/utils/hooks";
+import ScenarioPaginator from "./ScenarioPaginator";
+import { Fragment, useEffect, useState } from "react";
 
-export default function OutputsTable({ experimentId }: { experimentId: string | undefined }) {
+export default function OutputsTable({
+  experimentId,
+  func,
+}: {
+  experimentId: string | undefined;
+  func: () => void;
+}) {
   const variants = api.promptVariants.list.useQuery(
     { experimentId: experimentId as string },
     { enabled: !!experimentId },
   );
 
-  const scenarios = api.scenarios.list.useQuery(
-    { experimentId: experimentId as string },
-    { enabled: !!experimentId },
-  );
+  const scenarios = useScenarios();
+  const [newFunc, setNewFunc] = useState<() => void | null>();
+
+  useEffect(() => {
+    console.log('func', func)
+    if (func) {
+      setNewFunc(prev => {
+        console.log('Setting newFunc from', prev, 'to', func);
+        return func;
+    });
+    }
+  }, [func]);
 
   if (!variants.data || !scenarios.data) return null;
 
-  const allCols = variants.data.length + 1;
-  const headerRows = 3;
+  const allCols = variants.data.length + 2;
+  const variantHeaderRows = 3;
+  const scenarioHeaderRows = 1;
+  const scenarioFooterRows = 1;
+  const visibleScenariosCount = scenarios.data.scenarios.length;
+  const allRows =
+    variantHeaderRows + scenarioHeaderRows + visibleScenariosCount + scenarioFooterRows;
 
   return (
     <Grid
-      p={4}
+      pt={4}
       pb={24}
+      pl={8}
       display="grid"
       gridTemplateColumns={`250px repeat(${variants.data.length}, minmax(300px, 1fr)) auto`}
       sx={{
         "> *": {
           borderColor: "gray.300",
-          borderBottomWidth: 1,
-          borderRightWidth: 1,
         },
       }}
       fontSize="sm"
     >
-      <ScenariosHeader headerRows={headerRows} numScenarios={scenarios.data.length} />
+      <GridItem rowSpan={variantHeaderRows}>
+        <AddVariantButton />
+      </GridItem>
+      {newFunc && newFunc.toString()}
+      {variants.data.map((variant, i) => {
+        const sharedProps: GridItemProps = {
+          ...borders,
+          colStart: i + 2,
+          borderLeftWidth: i === 0 ? 1 : 0,
+          marginLeft: i === 0 ? "-1px" : 0,
+          backgroundColor: "gray.100",
+        };
+        return (
+          <Fragment key={variant.uiId}>
+            <VariantHeader
+              variant={variant}
+              canHide={variants.data.length > 1}
+              rowStart={1}
+              {...sharedProps}
+            />
+            <GridItem rowStart={2} {...sharedProps}>
+              <VariantEditor variant={variant} />
+            </GridItem>
+            <GridItem rowStart={3} {...sharedProps}>
+              <VariantStats variant={variant} />
+            </GridItem>
+          </Fragment>
+        );
+      })}
 
-      {variants.data.map((variant) => (
-        <VariantHeader key={variant.uiId} variant={variant} canHide={variants.data.length > 1} />
-      ))}
       <GridItem
-        rowSpan={scenarios.data.length + headerRows}
-        padding={0}
-        // Have to use `style` instead of emotion style props to work around css specificity issues conflicting with the "> *" selector on Grid
-        style={{ borderRightWidth: 0, borderBottomWidth: 0 }}
-        h={8}
-        sx={stickyHeaderStyle}
+        colSpan={allCols - 1}
+        rowStart={variantHeaderRows + 1}
+        colStart={1}
+        {...borders}
+        borderRightWidth={0}
       >
-        <NewVariantButton />
+        <ScenariosHeader />
       </GridItem>
 
-      {variants.data.map((variant) => (
-        <GridItem key={variant.uiId}>
-          <VariantEditor variant={variant} />
-        </GridItem>
-      ))}
-      {variants.data.map((variant) => (
-        <GridItem key={variant.uiId}>
-          <VariantStats variant={variant} />
-        </GridItem>
-      ))}
-      {scenarios.data.map((scenario) => (
+      {scenarios.data.scenarios.map((scenario, i) => (
         <ScenarioRow
+          rowStart={i + variantHeaderRows + scenarioHeaderRows + 2}
           key={scenario.uiId}
           scenario={scenario}
           variants={variants.data}
-          canHide={scenarios.data.length > 1}
+          canHide={visibleScenariosCount > 1}
         />
       ))}
-      <GridItem borderBottomWidth={0} borderRightWidth={0} w="100%" colSpan={allCols} padding={0}>
-        <NewScenarioButton />
+      <GridItem
+        rowStart={variantHeaderRows + scenarioHeaderRows + visibleScenariosCount + 2}
+        colStart={1}
+        colSpan={allCols}
+      >
+        <ScenarioPaginator />
       </GridItem>
+
+      {/* Add some extra padding on the right, because when the table is too wide to fit in the viewport `pr` on the Grid isn't respected. */}
+      <GridItem rowStart={1} colStart={allCols} rowSpan={allRows} w={4} borderBottomWidth={0} />
     </Grid>
   );
 }

src/components/OutputsTable/styles.ts

@@ -1,8 +1,6 @@
-import { type SystemStyleObject } from "@chakra-ui/react";
+import { type GridItemProps } from "@chakra-ui/react";
 
-export const stickyHeaderStyle: SystemStyleObject = {
-  position: "sticky",
-  top: "0",
-  backgroundColor: "#fff",
-  zIndex: 10,
+export const borders: GridItemProps = {
+  borderRightWidth: 1,
+  borderBottomWidth: 1,
 };

src/components/OutputsTable/types.ts

@@ -2,4 +2,4 @@ import { type RouterOutputs } from "~/utils/api";
 
 export type PromptVariant = NonNullable<RouterOutputs["promptVariants"]["list"]>[0];
 
-export type Scenario = NonNullable<RouterOutputs["scenarios"]["list"]>[0];
+export type Scenario = NonNullable<RouterOutputs["scenarios"]["list"]>["scenarios"][0];

src/components/RefinePromptModal/RefineAction.tsx

@@ -1,22 +1,23 @@
 import { HStack, Icon, Heading, Text, VStack, GridItem } from "@chakra-ui/react";
 import { type IconType } from "react-icons";
-import { refineOptions, type RefineOptionLabel } from "./refineOptions";
+import { BsStars } from "react-icons/bs";
 
-export const RefineOption = ({
+export const RefineAction = ({
   label,
-  activeLabel,
   icon,
+  desciption,
+  activeLabel,
   onClick,
   loading,
 }: {
-  label: RefineOptionLabel;
-  activeLabel: RefineOptionLabel | undefined;
-  icon: IconType;
-  onClick: (label: RefineOptionLabel) => void;
+  label: string;
+  icon?: IconType;
+  desciption: string;
+  activeLabel: string | undefined;
+  onClick: (label: string) => void;
   loading: boolean;
 }) => {
   const isActive = activeLabel === label;
-  const desciption = refineOptions[label].description;
 
   return (
     <GridItem w="80" h="44">
@@ -44,7 +45,7 @@ export const RefineOption = ({
         opacity={loading ? 0.5 : 1}
       >
         <HStack cursor="pointer" spacing={6} fontSize="sm" fontWeight="medium" color="gray.500">
-          <Icon as={icon} boxSize={12} />
+          <Icon as={icon || BsStars} boxSize={12} />
           <Heading size="md" fontFamily="inconsolata, monospace">
             {label}
           </Heading>

src/components/RefinePromptModal/RefinePromptModal.tsx

@@ -15,17 +15,16 @@ import {
   SimpleGrid,
 } from "@chakra-ui/react";
 import { BsStars } from "react-icons/bs";
-import { VscJson } from "react-icons/vsc";
-import { TfiThought } from "react-icons/tfi";
 import { api } from "~/utils/api";
-import { useHandledAsyncCallback } from "~/utils/hooks";
+import { useHandledAsyncCallback, useVisibleScenarioIds } from "~/utils/hooks";
 import { type PromptVariant } from "@prisma/client";
 import { useState } from "react";
 import CompareFunctions from "./CompareFunctions";
 import { CustomInstructionsInput } from "./CustomInstructionsInput";
-import { type RefineOptionLabel, refineOptions } from "./refineOptions";
-import { RefineOption } from "./RefineOption";
+import { RefineAction } from "./RefineAction";
 import { isObject, isString } from "lodash-es";
+import { type RefinementAction, type SupportedProvider } from "~/modelProviders/types";
+import frontendModelProviders from "~/modelProviders/frontendModelProviders";
 
 export const RefinePromptModal = ({
   variant,
@@ -35,26 +34,32 @@ export const RefinePromptModal = ({
   onClose: () => void;
 }) => {
   const utils = api.useContext();
+  const visibleScenarios = useVisibleScenarioIds();
+
+  const refinementActions =
+    frontendModelProviders[variant.modelProvider as SupportedProvider].refinementActions || {};
 
   const { mutateAsync: getModifiedPromptMutateAsync, data: refinedPromptFn } =
     api.promptVariants.getModifiedPromptFn.useMutation();
   const [instructions, setInstructions] = useState<string>("");
 
-  const [activeRefineOptionLabel, setActiveRefineOptionLabel] = useState<
-    RefineOptionLabel | undefined
-  >(undefined);
+  const [activeRefineActionLabel, setActiveRefineActionLabel] = useState<string | undefined>(
+    undefined,
+  );
 
   const [getModifiedPromptFn, modificationInProgress] = useHandledAsyncCallback(
-    async (label?: RefineOptionLabel) => {
+    async (label?: string) => {
       if (!variant.experimentId) return;
-      const updatedInstructions = label ? refineOptions[label].instructions : instructions;
-      setActiveRefineOptionLabel(label);
+      const updatedInstructions = label
+        ? (refinementActions[label] as RefinementAction).instructions
+        : instructions;
+      setActiveRefineActionLabel(label);
       await getModifiedPromptMutateAsync({
         id: variant.id,
         instructions: updatedInstructions,
       });
     },
-    [getModifiedPromptMutateAsync, onClose, variant, instructions, setActiveRefineOptionLabel],
+    [getModifiedPromptMutateAsync, onClose, variant, instructions, setActiveRefineActionLabel],
   );
 
   const replaceVariantMutation = api.promptVariants.replaceVariant.useMutation();
@@ -69,6 +74,7 @@ export const RefinePromptModal = ({
     await replaceVariantMutation.mutateAsync({
       id: variant.id,
       constructFn: refinedPromptFn,
+      streamScenarios: visibleScenarios,
     });
     await utils.promptVariants.list.invalidate();
     onClose();
@@ -92,25 +98,26 @@ export const RefinePromptModal = ({
         <ModalBody maxW="unset">
           <VStack spacing={8}>
             <VStack spacing={4}>
-              <SimpleGrid columns={{ base: 1, md: 2 }} spacing={8}>
-                <RefineOption
-                  label="Convert to function call"
-                  activeLabel={activeRefineOptionLabel}
-                  icon={VscJson}
-                  onClick={getModifiedPromptFn}
-                  loading={modificationInProgress}
-                />
-                <RefineOption
-                  label="Add chain of thought"
-                  activeLabel={activeRefineOptionLabel}
-                  icon={TfiThought}
-                  onClick={getModifiedPromptFn}
-                  loading={modificationInProgress}
-                />
-              </SimpleGrid>
-              <HStack>
-                <Text color="gray.500">or</Text>
-              </HStack>
+              {Object.keys(refinementActions).length && (
+                <>
+                  <SimpleGrid columns={{ base: 1, md: 2 }} spacing={8}>
+                    {Object.keys(refinementActions).map((label) => (
+                      <RefineAction
+                        key={label}
+                        label={label}
+                        // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+                        icon={refinementActions[label]!.icon}
+                        // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+                        desciption={refinementActions[label]!.description}
+                        activeLabel={activeRefineActionLabel}
+                        onClick={getModifiedPromptFn}
+                        loading={modificationInProgress}
+                      />
+                    ))}
+                  </SimpleGrid>
+                  <Text color="gray.500">or</Text>
+                </>
+              )}
               <CustomInstructionsInput
                 instructions={instructions}
                 setInstructions={setInstructions}

src/components/RefinePromptModal/refineOptions.ts

@@ -1,237 +0,0 @@
-// Super hacky, but we'll redo the organization when we have more models
-
-export type RefineOptionLabel = "Add chain of thought" | "Convert to function call";
-
-export const refineOptions: Record<
-  RefineOptionLabel,
-  { description: string; instructions: string }
-> = {
-  "Add chain of thought": {
-    description: "Asking the model to plan its answer can increase accuracy.",
-    instructions: `Adding chain of thought means asking the model to think about its answer before it gives it to you. This is useful for getting more accurate answers. Do not add an assistant message.
-      
-    This is what a prompt looks like before adding chain of thought:
-    
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-4",
-        stream: true,
-        messages: [
-            {
-            role: "system",
-            content: \`Evaluate sentiment.\`,
-            },
-            {
-            role: "user",
-            content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
-            },
-        ],
-    });
-
-    This is what one looks like after adding chain of thought:
-
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-4",
-        stream: true,
-        messages: [
-            {
-            role: "system",
-            content: \`Evaluate sentiment.\`,
-            },
-            {
-            role: "user",
-            content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral". Explain your answer before you give a score, then return the score on a new line.\`,
-            },
-        ],
-    });
-
-    Here's another example:
-
-    Before:
-
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-3.5-turbo",
-        messages: [
-          {
-            role: "user",
-            content: \`Title: \${scenario.title}
-      Body: \${scenario.body}
-      
-      Need: \${scenario.need}
-      
-      Rate likelihood on 1-3 scale.\`,
-          },
-        ],
-        temperature: 0,
-        functions: [
-          {
-            name: "score_post",
-            parameters: {
-              type: "object",
-              properties: {
-                score: {
-                  type: "number",
-                },
-              },
-            },
-          },
-        ],
-        function_call: {
-          name: "score_post",
-        },
-      });
-
-    After:
-
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-3.5-turbo",
-        messages: [
-          {
-            role: "user",
-            content: \`Title: \${scenario.title}
-      Body: \${scenario.body}
-      
-      Need: \${scenario.need}
-      
-      Rate likelihood on 1-3 scale. Provide an explanation, but always provide a score afterward.\`,
-          },
-        ],
-        temperature: 0,
-        functions: [
-          {
-            name: "score_post",
-            parameters: {
-              type: "object",
-              properties: {
-                explanation: {
-                  type: "string",
-                }
-                score: {
-                  type: "number",
-                },
-              },
-            },
-          },
-        ],
-        function_call: {
-          name: "score_post",
-        },
-      });
-
-    Add chain of thought to the original prompt.`,
-  },
-  "Convert to function call": {
-    description: "Use function calls to get output from the model in a more structured way.",
-    instructions: `OpenAI functions are a specialized way for an LLM to return output.
-    
-    This is what a prompt looks like before adding a function:
-    
-    definePrompt("openai/ChatCompletion", {
-      model: "gpt-4",
-      stream: true,
-      messages: [
-        {
-          role: "system",
-          content: \`Evaluate sentiment.\`,
-        },
-        {
-          role: "user",
-          content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
-        },
-      ],
-    });
-  
-    This is what one looks like after adding a function:
-  
-    definePrompt("openai/ChatCompletion", {
-      model: "gpt-4",
-      stream: true,
-      messages: [
-        {
-          role: "system",
-          content: "Evaluate sentiment.",
-        },
-        {
-          role: "user",
-          content: scenario.user_message,
-        },
-      ],
-      functions: [
-        {
-          name: "extract_sentiment",
-          parameters: {
-            type: "object", // parameters must always be an object with a properties key
-            properties: { // properties key is required
-              sentiment: {
-                type: "string",
-                description: "one of positive/negative/neutral",
-              },
-            },
-          },
-        },
-      ],
-      function_call: {
-        name: "extract_sentiment",
-      },
-    });
-
-    Here's another example of adding a function:
-
-    Before:
-
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-3.5-turbo",
-        messages: [
-          {
-            role: "user",
-            content: \`Here is the title and body of a reddit post I am interested in:
-
-            title: \${scenario.title}
-            body: \${scenario.body}
-            
-            On a scale from 1 to 3, how likely is it that the person writing this post has the following need? If you are not sure, make your best guess, or answer 1.
-            
-            Need: \${scenario.need}
-            
-            Answer one integer between 1 and 3.\`,
-          },
-        ],
-        temperature: 0,
-    });
-
-    After:
-
-    definePrompt("openai/ChatCompletion", {
-        model: "gpt-3.5-turbo",
-        messages: [
-          {
-            role: "user",
-            content: \`Title: \${scenario.title}
-      Body: \${scenario.body}
-      
-      Need: \${scenario.need}
-      
-      Rate likelihood on 1-3 scale.\`,
-          },
-        ],
-        temperature: 0,
-        functions: [
-          {
-            name: "score_post",
-            parameters: {
-              type: "object",
-              properties: {
-                score: {
-                  type: "number",
-                },
-              },
-            },
-          },
-        ],
-        function_call: {
-          name: "score_post",
-        },
-      });
-    
-    Add an OpenAI function that takes one or more nested parameters that match the expected output from this prompt.`,
-  },
-};

src/components/SelectModelModal/ModelStatsCard.tsx

@@ -1,89 +0,0 @@
-import {
-  VStack,
-  Text,
-  HStack,
-  type StackProps,
-  GridItem,
-  SimpleGrid,
-  Link,
-} from "@chakra-ui/react";
-import { modelStats } from "~/modelProviders/modelStats";
-import { type SupportedModel } from "~/server/types";
-
-export const ModelStatsCard = ({ label, model }: { label: string; model: SupportedModel }) => {
-  const stats = modelStats[model];
-  return (
-    <VStack w="full" align="start">
-      <Text fontWeight="bold" fontSize="sm" textTransform="uppercase">
-        {label}
-      </Text>
-
-      <VStack w="full" spacing={6} bgColor="gray.100" p={4} borderRadius={4}>
-        <HStack w="full" align="flex-start">
-          <Text flex={1} fontSize="lg">
-            <Text as="span" color="gray.600">
-              {stats.provider} /{" "}
-            </Text>
-            <Text as="span" fontWeight="bold" color="gray.900">
-              {model}
-            </Text>
-          </Text>
-          <Link
-            href={stats.learnMoreUrl}
-            isExternal
-            color="blue.500"
-            fontWeight="bold"
-            fontSize="sm"
-            ml={2}
-          >
-            Learn More
-          </Link>
-        </HStack>
-        <SimpleGrid
-          w="full"
-          justifyContent="space-between"
-          alignItems="flex-start"
-          fontSize="sm"
-          columns={{ base: 2, md: 4 }}
-        >
-          <SelectedModelLabeledInfo label="Context" info={stats.contextLength} />
-          <SelectedModelLabeledInfo
-            label="Input"
-            info={
-              <Text>
-                ${(stats.promptTokenPrice * 1000).toFixed(3)}
-                <Text color="gray.500"> / 1K tokens</Text>
-              </Text>
-            }
-          />
-          <SelectedModelLabeledInfo
-            label="Output"
-            info={
-              <Text>
-                ${(stats.promptTokenPrice * 1000).toFixed(3)}
-                <Text color="gray.500"> / 1K tokens</Text>
-              </Text>
-            }
-          />
-          <SelectedModelLabeledInfo label="Speed" info={<Text>{stats.speed}</Text>} />
-        </SimpleGrid>
-      </VStack>
-    </VStack>
-  );
-};
-
-const SelectedModelLabeledInfo = ({
-  label,
-  info,
-  ...props
-}: {
-  label: string;
-  info: string | number | React.ReactElement;
-} & StackProps) => (
-  <GridItem>
-    <VStack alignItems="flex-start" {...props}>
-      <Text fontWeight="bold">{label}</Text>
-      <Text>{info}</Text>
-    </VStack>
-  </GridItem>
-);

src/components/SelectModelModal/SelectModelSearch.tsx

@@ -1,47 +0,0 @@
-import { VStack, Text } from "@chakra-ui/react";
-import { type LegacyRef, useCallback } from "react";
-import Select, { type SingleValue } from "react-select";
-import { type SupportedModel } from "~/server/types";
-import { useElementDimensions } from "~/utils/hooks";
-
-const modelOptions: { value: SupportedModel; label: string }[] = [
-  { value: "gpt-3.5-turbo", label: "gpt-3.5-turbo" },
-  { value: "gpt-3.5-turbo-0613", label: "gpt-3.5-turbo-0613" },
-  { value: "gpt-3.5-turbo-16k", label: "gpt-3.5-turbo-16k" },
-  { value: "gpt-3.5-turbo-16k-0613", label: "gpt-3.5-turbo-16k-0613" },
-  { value: "gpt-4", label: "gpt-4" },
-  { value: "gpt-4-0613", label: "gpt-4-0613" },
-  { value: "gpt-4-32k", label: "gpt-4-32k" },
-  { value: "gpt-4-32k-0613", label: "gpt-4-32k-0613" },
-];
-
-export const SelectModelSearch = ({
-  selectedModel,
-  setSelectedModel,
-}: {
-  selectedModel: SupportedModel;
-  setSelectedModel: (model: SupportedModel) => void;
-}) => {
-  const handleSelection = useCallback(
-    (option: SingleValue<{ value: SupportedModel; label: string }>) => {
-      if (!option) return;
-      setSelectedModel(option.value);
-    },
-    [setSelectedModel],
-  );
-  const selectedOption = modelOptions.find((option) => option.value === selectedModel);
-
-  const [containerRef, containerDimensions] = useElementDimensions();
-
-  return (
-    <VStack ref={containerRef as LegacyRef<HTMLDivElement>} w="full">
-      <Text>Browse Models</Text>
-      <Select
-        styles={{ control: (provided) => ({ ...provided, width: containerDimensions?.width }) }}
-        value={selectedOption}
-        options={modelOptions}
-        onChange={handleSelection}
-      />
-    </VStack>
-  );
-};

src/components/VariantHeader/VariantHeader.tsx

@@ -3,28 +3,33 @@ import { type PromptVariant } from "../OutputsTable/types";
 import { api } from "~/utils/api";
 import { RiDraggable } from "react-icons/ri";
 import { useExperimentAccess, useHandledAsyncCallback } from "~/utils/hooks";
-import { HStack, Icon, Text, GridItem } from "@chakra-ui/react"; // Changed here
+import { HStack, Icon, Text, GridItem, type GridItemProps } from "@chakra-ui/react"; // Changed here
 import { cellPadding, headerMinHeight } from "../constants";
 import AutoResizeTextArea from "../AutoResizeTextArea";
-import { stickyHeaderStyle } from "../OutputsTable/styles";
 import VariantHeaderMenuButton from "./VariantHeaderMenuButton";
 
-export default function VariantHeader(props: { variant: PromptVariant; canHide: boolean }) {
+export default function VariantHeader(
+  allProps: {
+    variant: PromptVariant;
+    canHide: boolean;
+  } & GridItemProps,
+) {
+  const { variant, canHide, ...gridItemProps } = allProps;
   const { canModify } = useExperimentAccess();
   const utils = api.useContext();
   const [isDragTarget, setIsDragTarget] = useState(false);
   const [isInputHovered, setIsInputHovered] = useState(false);
-  const [label, setLabel] = useState(props.variant.label);
+  const [label, setLabel] = useState(variant.label);
 
   const updateMutation = api.promptVariants.update.useMutation();
   const [onSaveLabel] = useHandledAsyncCallback(async () => {
-    if (label && label !== props.variant.label) {
+    if (label && label !== variant.label) {
       await updateMutation.mutateAsync({
-        id: props.variant.id,
+        id: variant.id,
         updates: { label: label },
       });
     }
-  }, [updateMutation, props.variant.id, props.variant.label, label]);
+  }, [updateMutation, variant.id, variant.label, label]);
 
   const reorderMutation = api.promptVariants.reorder.useMutation();
   const [onReorder] = useHandledAsyncCallback(
@@ -32,7 +37,7 @@ export default function VariantHeader(props: { variant: PromptVariant; canHide:
       e.preventDefault();
       setIsDragTarget(false);
       const draggedId = e.dataTransfer.getData("text/plain");
-      const droppedId = props.variant.id;
+      const droppedId = variant.id;
       if (!draggedId || !droppedId || draggedId === droppedId) return;
       await reorderMutation.mutateAsync({
         draggedId,
@@ -40,16 +45,26 @@ export default function VariantHeader(props: { variant: PromptVariant; canHide:
       });
       await utils.promptVariants.list.invalidate();
     },
-    [reorderMutation, props.variant.id],
+    [reorderMutation, variant.id],
   );
 
   const [menuOpen, setMenuOpen] = useState(false);
 
   if (!canModify) {
     return (
-      <GridItem padding={0} sx={stickyHeaderStyle} borderTopWidth={1}>
+      <GridItem
+        padding={0}
+        sx={{
+          position: "sticky",
+          top: "0",
+          // Ensure that the menu always appears above the sticky header of other variants
+          zIndex: menuOpen ? "dropdown" : 10,
+        }}
+        borderTopWidth={1}
+        {...gridItemProps}
+      >
         <Text fontSize={16} fontWeight="bold" px={cellPadding.x} py={cellPadding.y}>
-          {props.variant.label}
+          {variant.label}
         </Text>
       </GridItem>
     );
@@ -59,19 +74,21 @@ export default function VariantHeader(props: { variant: PromptVariant; canHide:
     <GridItem
       padding={0}
       sx={{
-        ...stickyHeaderStyle,
+        position: "sticky",
+        top: "0",
         // Ensure that the menu always appears above the sticky header of other variants
-        zIndex: menuOpen ? "dropdown" : stickyHeaderStyle.zIndex,
+        zIndex: menuOpen ? "dropdown" : 10,
       }}
       borderTopWidth={1}
+      {...gridItemProps}
     >
       <HStack
-        spacing={4}
+        spacing={2}
         alignItems="flex-start"
         minH={headerMinHeight}
         draggable={!isInputHovered}
         onDragStart={(e) => {
-          e.dataTransfer.setData("text/plain", props.variant.id);
+          e.dataTransfer.setData("text/plain", variant.id);
           e.currentTarget.style.opacity = "0.4";
         }}
         onDragEnd={(e) => {
@@ -85,7 +102,8 @@ export default function VariantHeader(props: { variant: PromptVariant; canHide:
           setIsDragTarget(false);
         }}
         onDrop={onReorder}
-        backgroundColor={isDragTarget ? "gray.100" : "transparent"}
+        backgroundColor={isDragTarget ? "gray.200" : "gray.100"}
+        h="full"
       >
         <Icon
           as={RiDraggable}
@@ -112,8 +130,8 @@ export default function VariantHeader(props: { variant: PromptVariant; canHide:
           onMouseLeave={() => setIsInputHovered(false)}
         />
         <VariantHeaderMenuButton
-          variant={props.variant}
-          canHide={props.canHide}
+          variant={variant}
+          canHide={canHide}
           menuOpen={menuOpen}
           setMenuOpen={setMenuOpen}
         />

src/components/VariantHeader/VariantHeaderMenuButton.tsx

@@ -1,8 +1,7 @@
 import { type PromptVariant } from "../OutputsTable/types";
 import { api } from "~/utils/api";
-import { useHandledAsyncCallback } from "~/utils/hooks";
+import { useHandledAsyncCallback, useVisibleScenarioIds } from "~/utils/hooks";
 import {
-  Button,
   Icon,
   Menu,
   MenuButton,
@@ -11,13 +10,14 @@ import {
   MenuDivider,
   Text,
   Spinner,
+  IconButton,
 } from "@chakra-ui/react";
 import { BsFillTrashFill, BsGear, BsStars } from "react-icons/bs";
 import { FaRegClone } from "react-icons/fa";
 import { useState } from "react";
 import { RefinePromptModal } from "../RefinePromptModal/RefinePromptModal";
 import { RiExchangeFundsFill } from "react-icons/ri";
-import { SelectModelModal } from "../SelectModelModal/SelectModelModal";
+import { ChangeModelModal } from "../ChangeModelModal/ChangeModelModal";
 
 export default function VariantHeaderMenuButton({
   variant,
@@ -33,11 +33,13 @@ export default function VariantHeaderMenuButton({
   const utils = api.useContext();
 
   const duplicateMutation = api.promptVariants.create.useMutation();
+  const visibleScenarios = useVisibleScenarioIds();
 
   const [duplicateVariant, duplicationInProgress] = useHandledAsyncCallback(async () => {
     await duplicateMutation.mutateAsync({
       experimentId: variant.experimentId,
       variantId: variant.id,
+      streamScenarios: visibleScenarios,
     });
     await utils.promptVariants.list.invalidate();
   }, [duplicateMutation, variant.experimentId, variant.id]);
@@ -50,21 +52,18 @@ export default function VariantHeaderMenuButton({
     await utils.promptVariants.list.invalidate();
   }, [hideMutation, variant.id]);
 
-  const [selectModelModalOpen, setSelectModelModalOpen] = useState(false);
+  const [changeModelModalOpen, setChangeModelModalOpen] = useState(false);
   const [refinePromptModalOpen, setRefinePromptModalOpen] = useState(false);
 
   return (
     <>
       <Menu isOpen={menuOpen} onOpen={() => setMenuOpen(true)} onClose={() => setMenuOpen(false)}>
-        {duplicationInProgress ? (
-          <Spinner boxSize={4} mx={3} my={3} />
-        ) : (
-          <MenuButton>
-            <Button variant="ghost">
-              <Icon as={BsGear} />
-            </Button>
-          </MenuButton>
-        )}
+        <MenuButton
+          as={IconButton}
+          variant="ghost"
+          aria-label="Edit Scenarios"
+          icon={<Icon as={duplicationInProgress ? Spinner : BsGear} />}
+        />
 
         <MenuList mt={-3} fontSize="md">
           <MenuItem icon={<Icon as={FaRegClone} boxSize={4} w={5} />} onClick={duplicateVariant}>
@@ -72,7 +71,7 @@ export default function VariantHeaderMenuButton({
           </MenuItem>
           <MenuItem
             icon={<Icon as={RiExchangeFundsFill} boxSize={5} />}
-            onClick={() => setSelectModelModalOpen(true)}
+            onClick={() => setChangeModelModalOpen(true)}
           >
             Change Model
           </MenuItem>
@@ -97,8 +96,8 @@ export default function VariantHeaderMenuButton({
           )}
         </MenuList>
       </Menu>
-      {selectModelModalOpen && (
-        <SelectModelModal variant={variant} onClose={() => setSelectModelModalOpen(false)} />
+      {changeModelModalOpen && (
+        <ChangeModelModal variant={variant} onClose={() => setChangeModelModalOpen(false)} />
       )}
       {refinePromptModalOpen && (
         <RefinePromptModal variant={variant} onClose={() => setRefinePromptModalOpen(false)} />

src/components/experiments/ExperimentCard.tsx

@@ -1,4 +1,13 @@
-import { HStack, Icon, VStack, Text, Divider, Spinner, AspectRatio } from "@chakra-ui/react";
+import {
+  HStack,
+  Icon,
+  VStack,
+  Text,
+  Divider,
+  Spinner,
+  AspectRatio,
+  SkeletonText,
+} from "@chakra-ui/react";
 import { RiFlaskLine } from "react-icons/ri";
 import { formatTimePast } from "~/utils/dayjs";
 import Link from "next/link";
@@ -93,3 +102,13 @@ export const NewExperimentCard = () => {
     </AspectRatio>
   );
 };
+
+export const ExperimentCardSkeleton = () => (
+  <AspectRatio ratio={1.2} w="full">
+    <VStack align="center" borderColor="gray.200" borderWidth={1} p={4} bg="gray.50">
+      <SkeletonText noOfLines={1} w="80%" />
+      <SkeletonText noOfLines={2} w="60%" />
+      <SkeletonText noOfLines={1} w="80%" />
+    </VStack>
+  </AspectRatio>
+);

src/components/experiments/HeaderButtons/DeleteDialog.tsx

@@ -0,0 +1,57 @@
+import {
+  Button,
+  AlertDialog,
+  AlertDialogBody,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogContent,
+  AlertDialogOverlay,
+} from "@chakra-ui/react";
+
+import { useRouter } from "next/router";
+import { useRef } from "react";
+import { api } from "~/utils/api";
+import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
+
+export const DeleteDialog = ({ onClose }: { onClose: () => void }) => {
+  const experiment = useExperiment();
+  const deleteMutation = api.experiments.delete.useMutation();
+  const utils = api.useContext();
+  const router = useRouter();
+
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
+    if (!experiment.data?.id) return;
+    await deleteMutation.mutateAsync({ id: experiment.data.id });
+    await utils.experiments.list.invalidate();
+    await router.push({ pathname: "/experiments" });
+    onClose();
+  }, [deleteMutation, experiment.data?.id, router]);
+
+  return (
+    <AlertDialog isOpen leastDestructiveRef={cancelRef} onClose={onClose}>
+      <AlertDialogOverlay>
+        <AlertDialogContent>
+          <AlertDialogHeader fontSize="lg" fontWeight="bold">
+            Delete Experiment
+          </AlertDialogHeader>
+
+          <AlertDialogBody>
+            If you delete this experiment all the associated prompts and scenarios will be deleted
+            as well. Are you sure?
+          </AlertDialogBody>
+
+          <AlertDialogFooter>
+            <Button ref={cancelRef} onClick={onClose}>
+              Cancel
+            </Button>
+            <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
+              Delete
+            </Button>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialogOverlay>
+    </AlertDialog>
+  );
+};

src/components/experiments/HeaderButtons/HeaderButtons.tsx

@@ -0,0 +1,42 @@
+import { Button, HStack, Icon, Spinner, Text } from "@chakra-ui/react";
+import { useOnForkButtonPressed } from "./useOnForkButtonPressed";
+import { useExperiment } from "~/utils/hooks";
+import { BsGearFill } from "react-icons/bs";
+import { TbGitFork } from "react-icons/tb";
+import { useAppStore } from "~/state/store";
+
+export const HeaderButtons = () => {
+  const experiment = useExperiment();
+
+  const canModify = experiment.data?.access.canModify ?? false;
+
+  const { onForkButtonPressed, isForking } = useOnForkButtonPressed();
+
+  const openDrawer = useAppStore((s) => s.openDrawer);
+
+  if (experiment.isLoading) return null;
+
+  return (
+    <HStack spacing={0} mt={{ base: 2, md: 0 }}>
+      <Button
+        onClick={onForkButtonPressed}
+        mr={4}
+        colorScheme={canModify ? undefined : "orange"}
+        bgColor={canModify ? undefined : "orange.400"}
+        minW={0}
+        variant={{ base: "solid", md: canModify ? "ghost" : "solid" }}
+      >
+        {isForking ? <Spinner boxSize={5} /> : <Icon as={TbGitFork} boxSize={5} />}
+        <Text ml={2}>Fork</Text>
+      </Button>
+      {canModify && (
+        <Button variant={{ base: "solid", md: "ghost" }} onClick={openDrawer}>
+          <HStack>
+            <Icon as={BsGearFill} />
+            <Text>Settings</Text>
+          </HStack>
+        </Button>
+      )}
+    </HStack>
+  );
+};

src/components/experiments/HeaderButtons/useOnForkButtonPressed.tsx

@@ -0,0 +1,30 @@
+import { useCallback } from "react";
+import { api } from "~/utils/api";
+import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
+import { signIn, useSession } from "next-auth/react";
+import { useRouter } from "next/router";
+
+export const useOnForkButtonPressed = () => {
+  const router = useRouter();
+
+  const user = useSession().data;
+  const experiment = useExperiment();
+
+  const forkMutation = api.experiments.fork.useMutation();
+
+  const [onFork, isForking] = useHandledAsyncCallback(async () => {
+    if (!experiment.data?.id) return;
+    const forkedExperimentId = await forkMutation.mutateAsync({ id: experiment.data.id });
+    await router.push({ pathname: "/experiments/[id]", query: { id: forkedExperimentId } });
+  }, [forkMutation, experiment.data?.id, router]);
+
+  const onForkButtonPressed = useCallback(() => {
+    if (user === null) {
+      signIn("github").catch(console.error);
+    } else {
+      onFork();
+    }
+  }, [onFork, user]);
+
+  return { onForkButtonPressed, isForking };
+};

src/env.mjs

@@ -9,7 +9,6 @@ export const env = createEnv({
   server: {
     DATABASE_URL: z.string().url(),
     NODE_ENV: z.enum(["development", "test", "production"]).default("development"),
-    OPENAI_API_KEY: z.string().min(1),
     RESTRICT_PRISMA_LOGS: z
       .string()
       .optional()
@@ -17,7 +16,9 @@ export const env = createEnv({
       .transform((val) => val.toLowerCase() === "true"),
     GITHUB_CLIENT_ID: z.string().min(1),
     GITHUB_CLIENT_SECRET: z.string().min(1),
-    REPLICATE_API_TOKEN: z.string().min(1),
+    OPENAI_API_KEY: z.string().min(1),
+    REPLICATE_API_TOKEN: z.string().default("placeholder"),
+    ANTHROPIC_API_KEY: z.string().default("placeholder"),
   },
 
   /**
@@ -44,6 +45,7 @@ export const env = createEnv({
     GITHUB_CLIENT_ID: process.env.GITHUB_CLIENT_ID,
     GITHUB_CLIENT_SECRET: process.env.GITHUB_CLIENT_SECRET,
     REPLICATE_API_TOKEN: process.env.REPLICATE_API_TOKEN,
+    ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY,
   },
   /**
    * Run `build` or `dev` with `SKIP_ENV_VALIDATION` to skip env validation.

src/modelProviders/anthropic/codegen/codegen.ts

@@ -0,0 +1,69 @@
+/* eslint-disable @typescript-eslint/no-var-requires */
+
+import YAML from "yaml";
+import fs from "fs";
+import path from "path";
+import { openapiSchemaToJsonSchema } from "@openapi-contrib/openapi-schema-to-json-schema";
+import $RefParser from "@apidevtools/json-schema-ref-parser";
+import { type JSONObject } from "superjson/dist/types";
+import assert from "assert";
+import { type JSONSchema4Object } from "json-schema";
+import { isObject } from "lodash-es";
+
+// @ts-expect-error for some reason missing from types
+import parserEstree from "prettier/plugins/estree";
+import parserBabel from "prettier/plugins/babel";
+import prettier from "prettier/standalone";
+
+const OPENAPI_URL =
+  "https://raw.githubusercontent.com/tryAGI/Anthropic/1c0871e861de60a4c3a843cb90e17d63e86c234a/docs/openapi.yaml";
+
+// Fetch the openapi document
+const response = await fetch(OPENAPI_URL);
+const openApiYaml = await response.text();
+
+// Parse the yaml document
+let schema = YAML.parse(openApiYaml) as JSONObject;
+schema = openapiSchemaToJsonSchema(schema);
+
+const jsonSchema = await $RefParser.dereference(schema);
+
+assert("components" in jsonSchema);
+const completionRequestSchema = jsonSchema.components.schemas
+  .CreateCompletionRequest as JSONSchema4Object;
+
+// We need to do a bit of surgery here since the Monaco editor doesn't like
+// the fact that the schema says `model` can be either a string or an enum,
+// and displays a warning in the editor. Let's stick with just an enum for
+// now and drop the string option.
+assert(
+  "properties" in completionRequestSchema &&
+    isObject(completionRequestSchema.properties) &&
+    "model" in completionRequestSchema.properties &&
+    isObject(completionRequestSchema.properties.model),
+);
+
+const modelProperty = completionRequestSchema.properties.model;
+assert(
+  "oneOf" in modelProperty &&
+    Array.isArray(modelProperty.oneOf) &&
+    modelProperty.oneOf.length === 2 &&
+    isObject(modelProperty.oneOf[1]) &&
+    "enum" in modelProperty.oneOf[1],
+  "Expected model to have oneOf length of 2",
+);
+modelProperty.type = "string";
+modelProperty.enum = modelProperty.oneOf[1].enum;
+delete modelProperty["oneOf"];
+
+// Get the directory of the current script
+const currentDirectory = path.dirname(import.meta.url).replace("file://", "");
+
+// Write the JSON schema to a file in the current directory
+fs.writeFileSync(
+  path.join(currentDirectory, "input.schema.json"),
+  await prettier.format(JSON.stringify(completionRequestSchema, null, 2), {
+    parser: "json",
+    plugins: [parserBabel, parserEstree],
+  }),
+);

src/modelProviders/anthropic/codegen/input.schema.json

@@ -0,0 +1,129 @@
+{
+  "type": "object",
+  "properties": {
+    "model": {
+      "description": "The model that will complete your prompt.\nAs we improve Claude, we develop new versions of it that you can query.\nThis parameter controls which version of Claude answers your request.\nRight now we are offering two model families: Claude, and Claude Instant.\nYou can use them by setting model to \"claude-2\" or \"claude-instant-1\", respectively.\nSee models for additional details.\n",
+      "x-oaiTypeLabel": "string",
+      "type": "string",
+      "enum": [
+        "claude-2",
+        "claude-2.0",
+        "claude-instant-1",
+        "claude-instant-1.1"
+      ]
+    },
+    "prompt": {
+      "description": "The prompt that you want Claude to complete.\n\nFor proper response generation you will need to format your prompt as follows:\n\\n\\nHuman: ${userQuestion}\\n\\nAssistant:\nSee our comments on prompts for more context.\n",
+      "default": "<|endoftext|>",
+      "nullable": true,
+      "oneOf": [
+        {
+          "type": "string",
+          "default": "",
+          "example": "This is a test."
+        },
+        {
+          "type": "array",
+          "items": {
+            "type": "string",
+            "default": "",
+            "example": "This is a test."
+          }
+        },
+        {
+          "type": "array",
+          "minItems": 1,
+          "items": {
+            "type": "integer"
+          },
+          "example": "[1212, 318, 257, 1332, 13]"
+        },
+        {
+          "type": "array",
+          "minItems": 1,
+          "items": {
+            "type": "array",
+            "minItems": 1,
+            "items": {
+              "type": "integer"
+            }
+          },
+          "example": "[[1212, 318, 257, 1332, 13]]"
+        }
+      ]
+    },
+    "max_tokens_to_sample": {
+      "type": "integer",
+      "minimum": 1,
+      "default": 256,
+      "example": 256,
+      "nullable": true,
+      "description": "The maximum number of tokens to generate before stopping.\n\nNote that our models may stop before reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate.\n"
+    },
+    "temperature": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1,
+      "default": 1,
+      "example": 1,
+      "nullable": true,
+      "description": "Amount of randomness injected into the response.\n\nDefaults to 1. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and closer to 1 for creative and generative tasks.\n"
+    },
+    "top_p": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1,
+      "default": 1,
+      "example": 1,
+      "nullable": true,
+      "description": "Use nucleus sampling.\n\nIn nucleus sampling, we compute the cumulative distribution over all the options \nfor each subsequent token in decreasing probability order and cut it off once \nit reaches a particular probability specified by top_p. You should either alter temperature or top_p, but not both.\n"
+    },
+    "top_k": {
+      "type": "number",
+      "minimum": 0,
+      "default": 5,
+      "example": 5,
+      "nullable": true,
+      "description": "Only sample from the top K options for each subsequent token.\n\nUsed to remove \"long tail\" low probability responses. Learn more technical details here.\n"
+    },
+    "stream": {
+      "description": "Whether to incrementally stream the response using server-sent events.\nSee this guide to SSE events for details.type: boolean\n",
+      "nullable": true,
+      "default": false
+    },
+    "stop_sequences": {
+      "description": "Sequences that will cause the model to stop generating completion text.\nOur models stop on \"\\n\\nHuman:\", and may include additional built-in stop sequences in the future. By providing the stop_sequences parameter, you may include additional strings that will cause the model to stop generating.\n",
+      "default": null,
+      "nullable": true,
+      "oneOf": [
+        {
+          "type": "string",
+          "default": "<|endoftext|>",
+          "example": "\n",
+          "nullable": true
+        },
+        {
+          "type": "array",
+          "minItems": 1,
+          "maxItems": 4,
+          "items": {
+            "type": "string",
+            "example": "[\"\\n\"]"
+          }
+        }
+      ]
+    },
+    "metadata": {
+      "type": "object",
+      "properties": {
+        "user_id": {
+          "type": "string",
+          "example": "13803d75-b4b5-4c3e-b2a2-6f21399b021b",
+          "description": "An external identifier for the user who is associated with the request.\n\nThis should be a uuid, hash value, or other opaque identifier. Anthropic may use this id to help detect abuse. \nDo not include any identifying information such as name, email address, or phone number.\n"
+        }
+      },
+      "description": "An object describing metadata about the request.\n"
+    }
+  },
+  "required": ["model", "prompt", "max_tokens_to_sample"]
+}

src/modelProviders/anthropic/frontend.ts

@@ -0,0 +1,40 @@
+import { type Completion } from "@anthropic-ai/sdk/resources";
+import { type SupportedModel } from ".";
+import { type FrontendModelProvider } from "../types";
+import { refinementActions } from "./refinementActions";
+
+const frontendModelProvider: FrontendModelProvider<SupportedModel, Completion> = {
+  name: "Replicate Llama2",
+
+  models: {
+    "claude-2.0": {
+      name: "Claude 2.0",
+      contextWindow: 100000,
+      promptTokenPrice: 11.02 / 1000000,
+      completionTokenPrice: 32.68 / 1000000,
+      speed: "medium",
+      provider: "anthropic",
+      learnMoreUrl: "https://www.anthropic.com/product",
+    },
+    "claude-instant-1.1": {
+      name: "Claude Instant 1.1",
+      contextWindow: 100000,
+      promptTokenPrice: 1.63 / 1000000,
+      completionTokenPrice: 5.51 / 1000000,
+      speed: "fast",
+      provider: "anthropic",
+      learnMoreUrl: "https://www.anthropic.com/product",
+    },
+  },
+
+  refinementActions,
+
+  normalizeOutput: (output) => {
+    return {
+      type: "text",
+      value: output.completion,
+    };
+  },
+};
+
+export default frontendModelProvider;

src/modelProviders/anthropic/getCompletion.ts

@@ -0,0 +1,86 @@
+import { env } from "~/env.mjs";
+import { type CompletionResponse } from "../types";
+
+import Anthropic, { APIError } from "@anthropic-ai/sdk";
+import { type Completion, type CompletionCreateParams } from "@anthropic-ai/sdk/resources";
+import { isObject, isString } from "lodash-es";
+
+const anthropic = new Anthropic({
+  apiKey: env.ANTHROPIC_API_KEY,
+});
+
+export async function getCompletion(
+  input: CompletionCreateParams,
+  onStream: ((partialOutput: Completion) => void) | null,
+): Promise<CompletionResponse<Completion>> {
+  const start = Date.now();
+  let finalCompletion: Completion | null = null;
+
+  try {
+    if (onStream) {
+      const resp = await anthropic.completions.create(
+        { ...input, stream: true },
+        {
+          maxRetries: 0,
+        },
+      );
+
+      for await (const part of resp) {
+        if (finalCompletion === null) {
+          finalCompletion = part;
+        } else {
+          finalCompletion = { ...part, completion: finalCompletion.completion + part.completion };
+        }
+        onStream(finalCompletion);
+      }
+      if (!finalCompletion) {
+        return {
+          type: "error",
+          message: "Streaming failed to return a completion",
+          autoRetry: false,
+        };
+      }
+    } else {
+      const resp = await anthropic.completions.create(
+        { ...input, stream: false },
+        {
+          maxRetries: 0,
+        },
+      );
+      finalCompletion = resp;
+    }
+    const timeToComplete = Date.now() - start;
+
+    return {
+      type: "success",
+      statusCode: 200,
+      value: finalCompletion,
+      timeToComplete,
+    };
+  } catch (error: unknown) {
+    console.log("CAUGHT ERROR", error);
+    if (error instanceof APIError) {
+      const message =
+        isObject(error.error) &&
+        "error" in error.error &&
+        isObject(error.error.error) &&
+        "message" in error.error.error &&
+        isString(error.error.error.message)
+          ? error.error.error.message
+          : error.message;
+
+      return {
+        type: "error",
+        message,
+        autoRetry: error.status === 429 || error.status === 503,
+        statusCode: error.status,
+      };
+    } else {
+      return {
+        type: "error",
+        message: (error as Error).message,
+        autoRetry: true,
+      };
+    }
+  }
+}

src/modelProviders/anthropic/index.ts

@@ -0,0 +1,34 @@
+import { type JSONSchema4 } from "json-schema";
+import { type ModelProvider } from "../types";
+import inputSchema from "./codegen/input.schema.json";
+import { getCompletion } from "./getCompletion";
+import frontendModelProvider from "./frontend";
+import type { Completion, CompletionCreateParams } from "@anthropic-ai/sdk/resources";
+
+const supportedModels = ["claude-2.0", "claude-instant-1.1"] as const;
+
+export type SupportedModel = (typeof supportedModels)[number];
+
+export type AnthropicProvider = ModelProvider<SupportedModel, CompletionCreateParams, Completion>;
+
+const modelProvider: AnthropicProvider = {
+  getModel: (input) => {
+    if (supportedModels.includes(input.model as SupportedModel))
+      return input.model as SupportedModel;
+
+    const modelMaps: Record<string, SupportedModel> = {
+      "claude-2": "claude-2.0",
+      "claude-instant-1": "claude-instant-1.1",
+    };
+
+    if (input.model in modelMaps) return modelMaps[input.model] as SupportedModel;
+
+    return null;
+  },
+  inputSchema: inputSchema as JSONSchema4,
+  canStream: true,
+  getCompletion,
+  ...frontendModelProvider,
+};
+
+export default modelProvider;

src/modelProviders/anthropic/refinementActions.ts

@@ -0,0 +1,3 @@
+import { type RefinementAction } from "../types";
+
+export const refinementActions: Record<string, RefinementAction> = {};

src/modelProviders/frontendModelProviders.ts

@@ -1,15 +1,15 @@
 import openaiChatCompletionFrontend from "./openai-ChatCompletion/frontend";
 import replicateLlama2Frontend from "./replicate-llama2/frontend";
+import anthropicFrontend from "./anthropic/frontend";
 import { type SupportedProvider, type FrontendModelProvider } from "./types";
 
-// TODO: make sure we get a typescript error if you forget to add a provider here
-
 // Keep attributes here that need to be accessible from the frontend. We can't
 // just include them in the default `modelProviders` object because it has some
 // transient dependencies that can only be imported on the server.
 const frontendModelProviders: Record<SupportedProvider, FrontendModelProvider<any, any>> = {
   "openai/ChatCompletion": openaiChatCompletionFrontend,
   "replicate/llama2": replicateLlama2Frontend,
+  anthropic: anthropicFrontend,
 };
 
 export default frontendModelProviders;

src/modelProviders/modelProviders.ts

@@ -1,10 +1,12 @@
 import openaiChatCompletion from "./openai-ChatCompletion";
 import replicateLlama2 from "./replicate-llama2";
+import anthropic from "./anthropic";
 import { type SupportedProvider, type ModelProvider } from "./types";
 
 const modelProviders: Record<SupportedProvider, ModelProvider<any, any, any>> = {
   "openai/ChatCompletion": openaiChatCompletion,
   "replicate/llama2": replicateLlama2,
+  anthropic,
 };
 
 export default modelProviders;

src/modelProviders/modelStats.ts

@@ -1,77 +0,0 @@
-import { type SupportedModel } from "../server/types";
-
-interface ModelStats {
-  contextLength: number;
-  promptTokenPrice: number;
-  completionTokenPrice: number;
-  speed: "fast" | "medium" | "slow";
-  provider: "OpenAI";
-  learnMoreUrl: string;
-}
-
-export const modelStats: Record<SupportedModel, ModelStats> = {
-  "gpt-4": {
-    contextLength: 8192,
-    promptTokenPrice: 0.00003,
-    completionTokenPrice: 0.00006,
-    speed: "medium",
-    provider: "OpenAI",
-    learnMoreUrl: "https://openai.com/gpt-4",
-  },
-  "gpt-4-0613": {
-    contextLength: 8192,
-    promptTokenPrice: 0.00003,
-    completionTokenPrice: 0.00006,
-    speed: "medium",
-    provider: "OpenAI",
-    learnMoreUrl: "https://openai.com/gpt-4",
-  },
-  "gpt-4-32k": {
-    contextLength: 32768,
-    promptTokenPrice: 0.00006,
-    completionTokenPrice: 0.00012,
-    speed: "medium",
-    provider: "OpenAI",
-    learnMoreUrl: "https://openai.com/gpt-4",
-  },
-  "gpt-4-32k-0613": {
-    contextLength: 32768,
-    promptTokenPrice: 0.00006,
-    completionTokenPrice: 0.00012,
-    speed: "medium",
-    provider: "OpenAI",
-    learnMoreUrl: "https://openai.com/gpt-4",
-  },
-  "gpt-3.5-turbo": {
-    contextLength: 4096,
-    promptTokenPrice: 0.0000015,
-    completionTokenPrice: 0.000002,
-    speed: "fast",
-    provider: "OpenAI",
-    learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-  },
-  "gpt-3.5-turbo-0613": {
-    contextLength: 4096,
-    promptTokenPrice: 0.0000015,
-    completionTokenPrice: 0.000002,
-    speed: "fast",
-    provider: "OpenAI",
-    learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-  },
-  "gpt-3.5-turbo-16k": {
-    contextLength: 16384,
-    promptTokenPrice: 0.000003,
-    completionTokenPrice: 0.000004,
-    speed: "fast",
-    provider: "OpenAI",
-    learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-  },
-  "gpt-3.5-turbo-16k-0613": {
-    contextLength: 16384,
-    promptTokenPrice: 0.000003,
-    completionTokenPrice: 0.000004,
-    speed: "fast",
-    provider: "OpenAI",
-    learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-  },
-};

src/modelProviders/openai-ChatCompletion/frontend.ts

@@ -2,6 +2,7 @@ import { type JsonValue } from "type-fest";
 import { type SupportedModel } from ".";
 import { type FrontendModelProvider } from "../types";
 import { type ChatCompletion } from "openai/resources/chat";
+import { refinementActions } from "./refinementActions";
 
 const frontendModelProvider: FrontendModelProvider<SupportedModel, ChatCompletion> = {
   name: "OpenAI ChatCompletion",
@@ -9,22 +10,44 @@ const frontendModelProvider: FrontendModelProvider<SupportedModel, ChatCompletio
   models: {
     "gpt-4-0613": {
       name: "GPT-4",
-      learnMore: "https://openai.com/gpt-4",
+      contextWindow: 8192,
+      promptTokenPrice: 0.00003,
+      completionTokenPrice: 0.00006,
+      speed: "medium",
+      provider: "openai/ChatCompletion",
+      learnMoreUrl: "https://openai.com/gpt-4",
     },
     "gpt-4-32k-0613": {
       name: "GPT-4 32k",
-      learnMore: "https://openai.com/gpt-4",
+      contextWindow: 32768,
+      promptTokenPrice: 0.00006,
+      completionTokenPrice: 0.00012,
+      speed: "medium",
+      provider: "openai/ChatCompletion",
+      learnMoreUrl: "https://openai.com/gpt-4",
     },
     "gpt-3.5-turbo-0613": {
       name: "GPT-3.5 Turbo",
-      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
+      contextWindow: 4096,
+      promptTokenPrice: 0.0000015,
+      completionTokenPrice: 0.000002,
+      speed: "fast",
+      provider: "openai/ChatCompletion",
+      learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
     },
     "gpt-3.5-turbo-16k-0613": {
       name: "GPT-3.5 Turbo 16k",
-      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
+      contextWindow: 16384,
+      promptTokenPrice: 0.000003,
+      completionTokenPrice: 0.000004,
+      speed: "fast",
+      provider: "openai/ChatCompletion",
+      learnMoreUrl: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
     },
   },
 
+  refinementActions,
+
   normalizeOutput: (output) => {
     const message = output.choices[0]?.message;
     if (!message)

src/modelProviders/openai-ChatCompletion/getCompletion.ts

@@ -8,10 +8,10 @@ import { countOpenAIChatTokens } from "~/utils/countTokens";
 import { type CompletionResponse } from "../types";
 import { omit } from "lodash-es";
 import { openai } from "~/server/utils/openai";
-import { type OpenAIChatModel } from "~/server/types";
 import { truthyFilter } from "~/utils/utils";
 import { APIError } from "openai";
-import { modelStats } from "../modelStats";
+import frontendModelProvider from "./frontend";
+import modelProvider, { type SupportedModel } from ".";
 
 const mergeStreamedChunks = (
   base: ChatCompletion | null,
@@ -60,6 +60,7 @@ export async function getCompletion(
   let finalCompletion: ChatCompletion | null = null;
   let promptTokens: number | undefined = undefined;
   let completionTokens: number | undefined = undefined;
+  const modelName = modelProvider.getModel(input) as SupportedModel;
 
   try {
     if (onStream) {
@@ -81,12 +82,9 @@ export async function getCompletion(
         };
       }
       try {
-        promptTokens = countOpenAIChatTokens(
-          input.model as keyof typeof OpenAIChatModel,
-          input.messages,
-        );
+        promptTokens = countOpenAIChatTokens(modelName, input.messages);
         completionTokens = countOpenAIChatTokens(
-          input.model as keyof typeof OpenAIChatModel,
+          modelName,
           finalCompletion.choices.map((c) => c.message).filter(truthyFilter),
         );
       } catch (err) {
@@ -106,10 +104,10 @@ export async function getCompletion(
     }
     const timeToComplete = Date.now() - start;
 
-    const stats = modelStats[input.model as keyof typeof OpenAIChatModel];
+    const { promptTokenPrice, completionTokenPrice } = frontendModelProvider.models[modelName];
     let cost = undefined;
-    if (stats && promptTokens && completionTokens) {
-      cost = promptTokens * stats.promptTokenPrice + completionTokens * stats.completionTokenPrice;
+    if (promptTokenPrice && completionTokenPrice && promptTokens && completionTokens) {
+      cost = promptTokens * promptTokenPrice + completionTokens * completionTokenPrice;
     }
 
     return {
@@ -122,7 +120,6 @@ export async function getCompletion(
       cost,
     };
   } catch (error: unknown) {
-    console.error("ERROR IS", error);
     if (error instanceof APIError) {
       return {
         type: "error",

src/modelProviders/openai-ChatCompletion/index.ts

@@ -37,7 +37,7 @@ const modelProvider: OpenaiChatModelProvider = {
     return null;
   },
   inputSchema: inputSchema as JSONSchema4,
-  shouldStream: (input) => input.stream ?? false,
+  canStream: true,
   getCompletion,
   ...frontendModelProvider,
 };

src/modelProviders/openai-ChatCompletion/refinementActions.ts

@@ -0,0 +1,279 @@
+import { TfiThought } from "react-icons/tfi";
+import { type RefinementAction } from "../types";
+import { VscJson } from "react-icons/vsc";
+
+export const refinementActions: Record<string, RefinementAction> = {
+  "Add chain of thought": {
+    icon: VscJson,
+    description: "Asking the model to plan its answer can increase accuracy.",
+    instructions: `Adding chain of thought means asking the model to think about its answer before it gives it to you. This is useful for getting more accurate answers. Do not add an assistant message.
+  
+      This is what a prompt looks like before adding chain of thought:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-4",
+          stream: true,
+          messages: [
+              {
+              role: "system",
+              content: \`Evaluate sentiment.\`,
+              },
+              {
+              role: "user",
+              content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
+              },
+          ],
+      });
+  
+      This is what one looks like after adding chain of thought:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-4",
+          stream: true,
+          messages: [
+              {
+              role: "system",
+              content: \`Evaluate sentiment.\`,
+              },
+              {
+              role: "user",
+              content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral". Explain your answer before you give a score, then return the score on a new line.\`,
+              },
+          ],
+      });
+  
+      Here's another example:
+  
+      Before:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-3.5-turbo",
+          messages: [
+            {
+              role: "user",
+              content: \`Title: \${scenario.title}
+        Body: \${scenario.body}
+  
+        Need: \${scenario.need}
+  
+        Rate likelihood on 1-3 scale.\`,
+            },
+          ],
+          temperature: 0,
+          functions: [
+            {
+              name: "score_post",
+              parameters: {
+                type: "object",
+                properties: {
+                  score: {
+                    type: "number",
+                  },
+                },
+              },
+            },
+          ],
+          function_call: {
+            name: "score_post",
+          },
+        });
+  
+      After:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-3.5-turbo",
+          messages: [
+            {
+              role: "user",
+              content: \`Title: \${scenario.title}
+        Body: \${scenario.body}
+  
+        Need: \${scenario.need}
+  
+        Rate likelihood on 1-3 scale. Provide an explanation, but always provide a score afterward.\`,
+            },
+          ],
+          temperature: 0,
+          functions: [
+            {
+              name: "score_post",
+              parameters: {
+                type: "object",
+                properties: {
+                  explanation: {
+                    type: "string",
+                  }
+                  score: {
+                    type: "number",
+                  },
+                },
+              },
+            },
+          ],
+          function_call: {
+            name: "score_post",
+          },
+        });
+  
+      Add chain of thought to the original prompt.`,
+  },
+  "Convert to function call": {
+    icon: TfiThought,
+    description: "Use function calls to get output from the model in a more structured way.",
+    instructions: `OpenAI functions are a specialized way for an LLM to return output.
+  
+      This is what a prompt looks like before adding a function:
+  
+      definePrompt("openai/ChatCompletion", {
+        model: "gpt-4",
+        stream: true,
+        messages: [
+          {
+            role: "system",
+            content: \`Evaluate sentiment.\`,
+          },
+          {
+            role: "user",
+            content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
+          },
+        ],
+      });
+  
+      This is what one looks like after adding a function:
+  
+      definePrompt("openai/ChatCompletion", {
+        model: "gpt-4",
+        stream: true,
+        messages: [
+          {
+            role: "system",
+            content: "Evaluate sentiment.",
+          },
+          {
+            role: "user",
+            content: scenario.user_message,
+          },
+        ],
+        functions: [
+          {
+            name: "extract_sentiment",
+            parameters: {
+              type: "object", // parameters must always be an object with a properties key
+              properties: { // properties key is required
+                sentiment: {
+                  type: "string",
+                  description: "one of positive/negative/neutral",
+                },
+              },
+            },
+          },
+        ],
+        function_call: {
+          name: "extract_sentiment",
+        },
+      });
+  
+      Here's another example of adding a function:
+  
+      Before:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-3.5-turbo",
+          messages: [
+            {
+              role: "user",
+              content: \`Here is the title and body of a reddit post I am interested in:
+  
+              title: \${scenario.title}
+              body: \${scenario.body}
+  
+              On a scale from 1 to 3, how likely is it that the person writing this post has the following need? If you are not sure, make your best guess, or answer 1.
+  
+              Need: \${scenario.need}
+  
+              Answer one integer between 1 and 3.\`,
+            },
+          ],
+          temperature: 0,
+      });
+  
+      After:
+  
+      definePrompt("openai/ChatCompletion", {
+          model: "gpt-3.5-turbo",
+          messages: [
+            {
+              role: "user",
+              content: \`Title: \${scenario.title}
+        Body: \${scenario.body}
+  
+        Need: \${scenario.need}
+  
+        Rate likelihood on 1-3 scale.\`,
+            },
+          ],
+          temperature: 0,
+          functions: [
+            {
+              name: "score_post",
+              parameters: {
+                type: "object",
+                properties: {
+                  score: {
+                    type: "number",
+                  },
+                },
+              },
+            },
+          ],
+          function_call: {
+            name: "score_post",
+          },
+        });
+  
+      Another example
+  
+      Before:
+  
+      definePrompt("openai/ChatCompletion", {
+        model: "gpt-3.5-turbo",
+        stream: true,
+        messages: [
+          {
+            role: "system",
+            content: \`Write 'Start experimenting!' in \${scenario.language}\`,
+          },
+        ],
+      });
+  
+      After:
+  
+      definePrompt("openai/ChatCompletion", {
+        model: "gpt-3.5-turbo",
+        messages: [
+          {
+            role: "system",
+            content: \`Write 'Start experimenting!' in \${scenario.language}\`,
+          },
+        ],
+        functions: [
+          {
+            name: "write_in_language",
+            parameters: {
+              type: "object",
+              properties: {
+                text: {
+                  type: "string",
+                },
+              },
+            },
+          },
+        ],
+        function_call: {
+          name: "write_in_language",
+        },
+      });
+  
+      Add an OpenAI function that takes one or more nested parameters that match the expected output from this prompt.`,
+  },
+};

src/modelProviders/replicate-llama2/frontend.ts

@@ -1,15 +1,39 @@
 import { type SupportedModel, type ReplicateLlama2Output } from ".";
 import { type FrontendModelProvider } from "../types";
+import { refinementActions } from "./refinementActions";
 
 const frontendModelProvider: FrontendModelProvider<SupportedModel, ReplicateLlama2Output> = {
   name: "Replicate Llama2",
 
   models: {
-    "7b-chat": {},
-    "13b-chat": {},
-    "70b-chat": {},
+    "7b-chat": {
+      name: "LLama 2 7B Chat",
+      contextWindow: 4096,
+      pricePerSecond: 0.0023,
+      speed: "fast",
+      provider: "replicate/llama2",
+      learnMoreUrl: "https://replicate.com/a16z-infra/llama7b-v2-chat",
+    },
+    "13b-chat": {
+      name: "LLama 2 13B Chat",
+      contextWindow: 4096,
+      pricePerSecond: 0.0023,
+      speed: "medium",
+      provider: "replicate/llama2",
+      learnMoreUrl: "https://replicate.com/a16z-infra/llama13b-v2-chat",
+    },
+    "70b-chat": {
+      name: "LLama 2 70B Chat",
+      contextWindow: 4096,
+      pricePerSecond: 0.0032,
+      speed: "slow",
+      provider: "replicate/llama2",
+      learnMoreUrl: "https://replicate.com/replicate/llama70b-v2-chat",
+    },
   },
 
+  refinementActions,
+
   normalizeOutput: (output) => {
     return {
       type: "text",

src/modelProviders/replicate-llama2/getCompletion.ts

@@ -8,9 +8,9 @@ const replicate = new Replicate({
 });
 
 const modelIds: Record<ReplicateLlama2Input["model"], string> = {
-  "7b-chat": "3725a659b5afff1a0ba9bead5fac3899d998feaad00e07032ca2b0e35eb14f8a",
-  "13b-chat": "5c785d117c5bcdd1928d5a9acb1ffa6272d6cf13fcb722e90886a0196633f9d3",
-  "70b-chat": "e951f18578850b652510200860fc4ea62b3b16fac280f83ff32282f87bbd2e48",
+  "7b-chat": "5ec5fdadd80ace49f5a2b2178cceeb9f2f77c493b85b1131002c26e6b2b13184",
+  "13b-chat": "6b4da803a2382c08868c5af10a523892f38e2de1aafb2ee55b020d9efef2fdb8",
+  "70b-chat": "2d19859030ff705a87c746f7e96eea03aefb71f166725aee39692f1476566d48",
 };
 
 export async function getCompletion(
@@ -19,7 +19,7 @@ export async function getCompletion(
 ): Promise<CompletionResponse<ReplicateLlama2Output>> {
   const start = Date.now();
 
-  const { model, stream, ...rest } = input;
+  const { model, ...rest } = input;
 
   try {
     const prediction = await replicate.predictions.create({
@@ -27,8 +27,6 @@ export async function getCompletion(
       input: rest,
     });
 
-    console.log("stream?", onStream);
-
     const interval = onStream
       ? // eslint-disable-next-line @typescript-eslint/no-misused-promises
         setInterval(async () => {

src/modelProviders/replicate-llama2/index.ts

@@ -9,7 +9,6 @@ export type SupportedModel = (typeof supportedModels)[number];
 export type ReplicateLlama2Input = {
   model: SupportedModel;
   prompt: string;
-  stream?: boolean;
   max_length?: number;
   temperature?: number;
   top_p?: number;
@@ -38,31 +37,43 @@ const modelProvider: ReplicateLlama2Provider = {
         type: "string",
         enum: supportedModels as unknown as string[],
       },
+      system_prompt: {
+        type: "string",
+        description:
+          "System prompt to send to Llama v2. This is prepended to the prompt and helps guide system behavior.",
+      },
       prompt: {
         type: "string",
+        description: "Prompt to send to Llama v2.",
       },
-      stream: {
-        type: "boolean",
-      },
-      max_length: {
+      max_new_tokens: {
         type: "number",
+        description:
+          "Maximum number of tokens to generate. A word is generally 2-3 tokens (minimum: 1)",
       },
       temperature: {
         type: "number",
+        description:
+          "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value. (minimum: 0.01; maximum: 5)",
       },
       top_p: {
         type: "number",
+        description:
+          "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens (minimum: 0.01; maximum: 1)",
       },
       repetition_penalty: {
         type: "number",
+        description:
+          "Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. (minimum: 0.01; maximum: 5)",
       },
       debug: {
         type: "boolean",
+        description: "provide debugging output in logs",
       },
     },
     required: ["model", "prompt"],
   },
-  shouldStream: (input) => input.stream ?? false,
+  canStream: true,
   getCompletion,
   ...frontendModelProvider,
 };

src/modelProviders/replicate-llama2/refinementActions.ts

@@ -0,0 +1,3 @@
+import { type RefinementAction } from "../types";
+
+export const refinementActions: Record<string, RefinementAction> = {};

src/modelProviders/types.ts

@@ -1,16 +1,36 @@
 import { type JSONSchema4 } from "json-schema";
+import { type IconType } from "react-icons";
 import { type JsonValue } from "type-fest";
+import { z } from "zod";
 
-export type SupportedProvider = "openai/ChatCompletion" | "replicate/llama2";
+export const ZodSupportedProvider = z.union([
+  z.literal("openai/ChatCompletion"),
+  z.literal("replicate/llama2"),
+  z.literal("anthropic"),
+]);
 
-type ModelInfo = {
-  name?: string;
-  learnMore?: string;
+export type SupportedProvider = z.infer<typeof ZodSupportedProvider>;
+
+export type Model = {
+  name: string;
+  contextWindow: number;
+  promptTokenPrice?: number;
+  completionTokenPrice?: number;
+  pricePerSecond?: number;
+  speed: "fast" | "medium" | "slow";
+  provider: SupportedProvider;
+  description?: string;
+  learnMoreUrl?: string;
 };
 
+export type ProviderModel = { provider: z.infer<typeof ZodSupportedProvider>; model: string };
+
+export type RefinementAction = { icon?: IconType; description: string; instructions: string };
+
 export type FrontendModelProvider<SupportedModels extends string, OutputSchema> = {
   name: string;
-  models: Record<SupportedModels, ModelInfo>;
+  models: Record<SupportedModels, Model>;
+  refinementActions?: Record<string, RefinementAction>;
 
   normalizeOutput: (output: OutputSchema) => NormalizedOutput;
 };
@@ -29,7 +49,7 @@ export type CompletionResponse<T> =
 
 export type ModelProvider<SupportedModels extends string, InputSchema, OutputSchema> = {
   getModel: (input: InputSchema) => SupportedModels | null;
-  shouldStream: (input: InputSchema) => boolean;
+  canStream: boolean;
   inputSchema: JSONSchema4;
   getCompletion: (
     input: InputSchema,

src/pages/_app.tsx

@@ -7,6 +7,8 @@ import "~/utils/analytics";
 import Head from "next/head";
 import { ChakraThemeProvider } from "~/theme/ChakraThemeProvider";
 import { SyncAppStore } from "~/state/sync";
+import NextAdapterApp from "next-query-params/app";
+import { QueryParamProvider } from "use-query-params";
 
 const MyApp: AppType<{ session: Session | null }> = ({
   Component,
@@ -24,7 +26,9 @@ const MyApp: AppType<{ session: Session | null }> = ({
         <SyncAppStore />
         <Favicon />
         <ChakraThemeProvider>
-          <Component {...pageProps} />
+          <QueryParamProvider adapter={NextAdapterApp}>
+            <Component {...pageProps} />
+          </QueryParamProvider>
         </ChakraThemeProvider>
       </SessionProvider>
     </>

src/pages/experiments/[id].tsx

@@ -2,106 +2,37 @@ import {
   Box,
   Breadcrumb,
   BreadcrumbItem,
-  Button,
   Center,
   Flex,
   Icon,
   Input,
-  AlertDialog,
-  AlertDialogBody,
-  AlertDialogFooter,
-  AlertDialogHeader,
-  AlertDialogContent,
-  AlertDialogOverlay,
-  useDisclosure,
   Text,
-  HStack,
   VStack,
 } from "@chakra-ui/react";
 import Link from "next/link";
 
 import { useRouter } from "next/router";
-import { useState, useEffect, useRef } from "react";
-import { BsGearFill, BsTrash } from "react-icons/bs";
+import { useState, useEffect } from "react";
 import { RiFlaskLine } from "react-icons/ri";
 import OutputsTable from "~/components/OutputsTable";
-import SettingsDrawer from "~/components/OutputsTable/SettingsDrawer";
+import ExperimentSettingsDrawer from "~/components/ExperimentSettingsDrawer/ExperimentSettingsDrawer";
 import AppShell from "~/components/nav/AppShell";
 import { api } from "~/utils/api";
 import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
 import { useAppStore } from "~/state/store";
 import { useSyncVariantEditor } from "~/state/sync";
-
-const DeleteButton = () => {
-  const experiment = useExperiment();
-  const mutation = api.experiments.delete.useMutation();
-  const utils = api.useContext();
-  const router = useRouter();
-
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const cancelRef = useRef<HTMLButtonElement>(null);
-
-  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
-    if (!experiment.data?.id) return;
-    await mutation.mutateAsync({ id: experiment.data.id });
-    await utils.experiments.list.invalidate();
-    await router.push({ pathname: "/experiments" });
-    onClose();
-  }, [mutation, experiment.data?.id, router]);
-
-  useEffect(() => {
-    useAppStore.getState().sharedVariantEditor.loadMonaco().catch(console.error);
-  });
-
-  return (
-    <>
-      <Button
-        size="sm"
-        variant={{ base: "outline", lg: "ghost" }}
-        colorScheme="gray"
-        fontWeight="normal"
-        onClick={onOpen}
-      >
-        <Icon as={BsTrash} boxSize={4} color="gray.600" />
-        <Text display={{ base: "none", lg: "block" }} ml={2}>
-          Delete Experiment
-        </Text>
-      </Button>
-
-      <AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
-        <AlertDialogOverlay>
-          <AlertDialogContent>
-            <AlertDialogHeader fontSize="lg" fontWeight="bold">
-              Delete Experiment
-            </AlertDialogHeader>
-
-            <AlertDialogBody>
-              If you delete this experiment all the associated prompts and scenarios will be deleted
-              as well. Are you sure?
-            </AlertDialogBody>
-
-            <AlertDialogFooter>
-              <Button ref={cancelRef} onClick={onClose}>
-                Cancel
-              </Button>
-              <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
-                Delete
-              </Button>
-            </AlertDialogFooter>
-          </AlertDialogContent>
-        </AlertDialogOverlay>
-      </AlertDialog>
-    </>
-  );
-};
+import { HeaderButtons } from "~/components/experiments/HeaderButtons/HeaderButtons";
 
 export default function Experiment() {
   const router = useRouter();
   const experiment = useExperiment();
   const utils = api.useContext();
-  const openDrawer = useAppStore((s) => s.openDrawer);
   useSyncVariantEditor();
 
+  useEffect(() => {
+    useAppStore.getState().sharedVariantEditor.loadMonaco().catch(console.error);
+  });
+
   const [label, setLabel] = useState(experiment.data?.label || "");
   useEffect(() => {
     setLabel(experiment.data?.label || "");
@@ -130,6 +61,14 @@ export default function Experiment() {
 
   const canModify = experiment.data?.access.canModify ?? false;
 
+  const y = "5"
+  const z = {abc: "123"}
+
+  const func = () => {
+    const u = 12;
+    const m = `hello ${y} ${z.abc} ${u} world`;
+  }
+
   return (
     <AppShell title={experiment.data?.label}>
       <VStack h="full">
@@ -138,7 +77,7 @@ export default function Experiment() {
           py={2}
           w="full"
           direction={{ base: "column", sm: "row" }}
-          alignItems="flex-start"
+          alignItems={{ base: "flex-start", sm: "center" }}
         >
           <Breadcrumb flex={1}>
             <BreadcrumbItem>
@@ -171,27 +110,11 @@ export default function Experiment() {
               )}
             </BreadcrumbItem>
           </Breadcrumb>
-          {canModify && (
-            <HStack>
-              <Button
-                size="sm"
-                variant={{ base: "outline", lg: "ghost" }}
-                colorScheme="gray"
-                fontWeight="normal"
-                onClick={openDrawer}
-              >
-                <Icon as={BsGearFill} boxSize={4} color="gray.600" />
-                <Text display={{ base: "none", lg: "block" }} ml={2}>
-                  Edit Vars & Evals
-                </Text>
-              </Button>
-              <DeleteButton />
-            </HStack>
-          )}
+          <HeaderButtons />
         </Flex>
-        <SettingsDrawer />
+        <ExperimentSettingsDrawer />
         <Box w="100%" overflowX="auto" flex={1}>
-          <OutputsTable experimentId={router.query.id as string | undefined} />
+          <OutputsTable experimentId={router.query.id as string | undefined} func={func} />
         </Box>
       </VStack>
     </AppShell>

src/pages/experiments/index.tsx

@@ -13,7 +13,11 @@ import {
 import { RiFlaskLine } from "react-icons/ri";
 import AppShell from "~/components/nav/AppShell";
 import { api } from "~/utils/api";
-import { ExperimentCard, NewExperimentCard } from "~/components/experiments/ExperimentCard";
+import {
+  ExperimentCard,
+  ExperimentCardSkeleton,
+  NewExperimentCard,
+} from "~/components/experiments/ExperimentCard";
 import { signIn, useSession } from "next-auth/react";
 
 export default function ExperimentsPage() {
@@ -47,7 +51,7 @@ export default function ExperimentsPage() {
   return (
     <AppShell title="Experiments">
       <VStack alignItems={"flex-start"} px={4} py={2}>
-        <HStack minH={8} align="center">
+        <HStack minH={8} align="center" pt={2}>
           <Breadcrumb flex={1}>
             <BreadcrumbItem>
               <Flex alignItems="center">
@@ -58,7 +62,15 @@ export default function ExperimentsPage() {
         </HStack>
         <SimpleGrid w="full" columns={{ base: 1, md: 2, lg: 3, xl: 4 }} spacing={8} p="4">
           <NewExperimentCard />
-          {experiments?.data?.map((exp) => <ExperimentCard key={exp.id} exp={exp} />)}
+          {experiments.data && !experiments.isLoading ? (
+            experiments?.data?.map((exp) => <ExperimentCard key={exp.id} exp={exp} />)
+          ) : (
+            <>
+              <ExperimentCardSkeleton />
+              <ExperimentCardSkeleton />
+              <ExperimentCardSkeleton />
+            </>
+          )}
         </SimpleGrid>
       </VStack>
     </AppShell>

src/server/api/routers/evaluations.router.ts

@@ -2,7 +2,7 @@ import { EvalType } from "@prisma/client";
 import { z } from "zod";
 import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
 import { prisma } from "~/server/db";
-import { runAllEvals } from "~/server/utils/evaluations";
+import { queueRunNewEval } from "~/server/tasks/runNewEval.task";
 import { requireCanModifyExperiment, requireCanViewExperiment } from "~/utils/accessControl";
 
 export const evaluationsRouter = createTRPCRouter({
@@ -40,9 +40,7 @@ export const evaluationsRouter = createTRPCRouter({
         },
       });
 
-      // TODO: this may be a bad UX for slow evals (eg. GPT-4 evals) Maybe need
-      // to kick off a background job or something instead
-      await runAllEvals(input.experimentId);
+      await queueRunNewEval(input.experimentId);
     }),
 
   update: protectedProcedure
@@ -78,7 +76,7 @@ export const evaluationsRouter = createTRPCRouter({
       });
       // Re-run all evals. Other eval results will already be cached, so this
       // should only re-run the updated one.
-      await runAllEvals(evaluation.experimentId);
+      await queueRunNewEval(experimentId);
     }),
 
   delete: protectedProcedure

src/server/api/routers/experiments.router.ts

@@ -1,5 +1,7 @@
 import { z } from "zod";
+import { v4 as uuidv4 } from "uuid";
 import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
+import { type Prisma } from "@prisma/client";
 import { prisma } from "~/server/db";
 import dedent from "dedent";
 import { generateNewCell } from "~/server/utils/generateNewCell";
@@ -20,7 +22,7 @@ export const experimentsRouter = createTRPCRouter({
     const experiments = await prisma.experiment.findMany({
       where: {
         organization: {
-          OrganizationUser: {
+          organizationUsers: {
             some: { userId: ctx.session.user.id },
           },
         },
@@ -77,6 +79,189 @@ export const experimentsRouter = createTRPCRouter({
     };
   }),
 
+  fork: protectedProcedure.input(z.object({ id: z.string() })).mutation(async ({ input, ctx }) => {
+    await requireCanViewExperiment(input.id, ctx);
+
+    const [
+      existingExp,
+      existingVariants,
+      existingScenarios,
+      existingCells,
+      evaluations,
+      templateVariables,
+    ] = await prisma.$transaction([
+      prisma.experiment.findUniqueOrThrow({
+        where: {
+          id: input.id,
+        },
+      }),
+      prisma.promptVariant.findMany({
+        where: {
+          experimentId: input.id,
+          visible: true,
+        },
+      }),
+      prisma.testScenario.findMany({
+        where: {
+          experimentId: input.id,
+          visible: true,
+        },
+      }),
+      prisma.scenarioVariantCell.findMany({
+        where: {
+          testScenario: {
+            visible: true,
+          },
+          promptVariant: {
+            experimentId: input.id,
+            visible: true,
+          },
+        },
+        include: {
+          modelResponses: {
+            include: {
+              outputEvaluations: true,
+            },
+          },
+        },
+      }),
+      prisma.evaluation.findMany({
+        where: {
+          experimentId: input.id,
+        },
+      }),
+      prisma.templateVariable.findMany({
+        where: {
+          experimentId: input.id,
+        },
+      }),
+    ]);
+
+    const newExperimentId = uuidv4();
+
+    const existingToNewVariantIds = new Map<string, string>();
+    const variantsToCreate: Prisma.PromptVariantCreateManyInput[] = [];
+    for (const variant of existingVariants) {
+      const newVariantId = uuidv4();
+      existingToNewVariantIds.set(variant.id, newVariantId);
+      variantsToCreate.push({
+        ...variant,
+        id: newVariantId,
+        experimentId: newExperimentId,
+      });
+    }
+
+    const existingToNewScenarioIds = new Map<string, string>();
+    const scenariosToCreate: Prisma.TestScenarioCreateManyInput[] = [];
+    for (const scenario of existingScenarios) {
+      const newScenarioId = uuidv4();
+      existingToNewScenarioIds.set(scenario.id, newScenarioId);
+      scenariosToCreate.push({
+        ...scenario,
+        id: newScenarioId,
+        experimentId: newExperimentId,
+        variableValues: scenario.variableValues as Prisma.InputJsonValue,
+      });
+    }
+
+    const existingToNewEvaluationIds = new Map<string, string>();
+    const evaluationsToCreate: Prisma.EvaluationCreateManyInput[] = [];
+    for (const evaluation of evaluations) {
+      const newEvaluationId = uuidv4();
+      existingToNewEvaluationIds.set(evaluation.id, newEvaluationId);
+      evaluationsToCreate.push({
+        ...evaluation,
+        id: newEvaluationId,
+        experimentId: newExperimentId,
+      });
+    }
+
+    const cellsToCreate: Prisma.ScenarioVariantCellCreateManyInput[] = [];
+    const modelResponsesToCreate: Prisma.ModelResponseCreateManyInput[] = [];
+    const outputEvaluationsToCreate: Prisma.OutputEvaluationCreateManyInput[] = [];
+    for (const cell of existingCells) {
+      const newCellId = uuidv4();
+      const { modelResponses, ...cellData } = cell;
+      cellsToCreate.push({
+        ...cellData,
+        id: newCellId,
+        promptVariantId: existingToNewVariantIds.get(cell.promptVariantId) ?? "",
+        testScenarioId: existingToNewScenarioIds.get(cell.testScenarioId) ?? "",
+        prompt: (cell.prompt as Prisma.InputJsonValue) ?? undefined,
+      });
+      for (const modelResponse of modelResponses) {
+        const newModelResponseId = uuidv4();
+        const { outputEvaluations, ...modelResponseData } = modelResponse;
+        modelResponsesToCreate.push({
+          ...modelResponseData,
+          id: newModelResponseId,
+          scenarioVariantCellId: newCellId,
+          output: (modelResponse.output as Prisma.InputJsonValue) ?? undefined,
+        });
+        for (const evaluation of outputEvaluations) {
+          outputEvaluationsToCreate.push({
+            ...evaluation,
+            id: uuidv4(),
+            modelResponseId: newModelResponseId,
+            evaluationId: existingToNewEvaluationIds.get(evaluation.evaluationId) ?? "",
+          });
+        }
+      }
+    }
+
+    const templateVariablesToCreate: Prisma.TemplateVariableCreateManyInput[] = [];
+    for (const templateVariable of templateVariables) {
+      templateVariablesToCreate.push({
+        ...templateVariable,
+        id: uuidv4(),
+        experimentId: newExperimentId,
+      });
+    }
+
+    const maxSortIndex =
+      (
+        await prisma.experiment.aggregate({
+          _max: {
+            sortIndex: true,
+          },
+        })
+      )._max?.sortIndex ?? 0;
+
+    await prisma.$transaction([
+      prisma.experiment.create({
+        data: {
+          id: newExperimentId,
+          sortIndex: maxSortIndex + 1,
+          label: `${existingExp.label} (forked)`,
+          organizationId: (await userOrg(ctx.session.user.id)).id,
+        },
+      }),
+      prisma.promptVariant.createMany({
+        data: variantsToCreate,
+      }),
+      prisma.testScenario.createMany({
+        data: scenariosToCreate,
+      }),
+      prisma.scenarioVariantCell.createMany({
+        data: cellsToCreate,
+      }),
+      prisma.modelResponse.createMany({
+        data: modelResponsesToCreate,
+      }),
+      prisma.evaluation.createMany({
+        data: evaluationsToCreate,
+      }),
+      prisma.outputEvaluation.createMany({
+        data: outputEvaluationsToCreate,
+      }),
+      prisma.templateVariable.createMany({
+        data: templateVariablesToCreate,
+      }),
+    ]);
+
+    return newExperimentId;
+  }),
+
   create: protectedProcedure.input(z.object({})).mutation(async ({ ctx }) => {
     // Anyone can create an experiment
     requireNothing(ctx);

src/server/api/routers/promptVariants.router.ts

@@ -1,8 +1,8 @@
 import { z } from "zod";
 import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
 import { prisma } from "~/server/db";
+import { Prisma } from "@prisma/client";
 import { generateNewCell } from "~/server/utils/generateNewCell";
-import { type SupportedModel } from "~/server/types";
 import userError from "~/server/utils/error";
 import { recordExperimentUpdated } from "~/server/utils/recordExperimentUpdated";
 import { reorderPromptVariants } from "~/server/utils/reorderPromptVariants";
@@ -10,6 +10,8 @@ import { type PromptVariant } from "@prisma/client";
 import { deriveNewConstructFn } from "~/server/utils/deriveNewContructFn";
 import { requireCanModifyExperiment, requireCanViewExperiment } from "~/utils/accessControl";
 import parseConstructFn from "~/server/utils/parseConstructFn";
+import modelProviders from "~/modelProviders/modelProviders";
+import { ZodSupportedProvider } from "~/modelProviders/types";
 
 export const promptVariantsRouter = createTRPCRouter({
   list: publicProcedure
@@ -50,7 +52,9 @@ export const promptVariantsRouter = createTRPCRouter({
           id: true,
         },
         where: {
-          modelOutput: {
+          modelResponse: {
+            outdated: false,
+            output: { not: Prisma.AnyNull },
             scenarioVariantCell: {
               promptVariant: {
                 id: input.variantId,
@@ -92,14 +96,23 @@ export const promptVariantsRouter = createTRPCRouter({
         where: {
           promptVariantId: input.variantId,
           testScenario: { visible: true },
-          modelOutput: {
-            is: {},
+          modelResponses: {
+            some: {
+              outdated: false,
+              output: {
+                not: Prisma.AnyNull,
+              },
+            },
           },
         },
       });
 
-      const overallTokens = await prisma.modelOutput.aggregate({
+      const overallTokens = await prisma.modelResponse.aggregate({
         where: {
+          outdated: false,
+          output: {
+            not: Prisma.AnyNull,
+          },
           scenarioVariantCell: {
             promptVariantId: input.variantId,
             testScenario: {
@@ -117,16 +130,9 @@ export const promptVariantsRouter = createTRPCRouter({
       const promptTokens = overallTokens._sum?.promptTokens ?? 0;
       const completionTokens = overallTokens._sum?.completionTokens ?? 0;
 
-      const awaitingRetrievals = !!(await prisma.scenarioVariantCell.findFirst({
-        where: {
-          promptVariantId: input.variantId,
-          testScenario: { visible: true },
-          // Check if is PENDING or IN_PROGRESS
-          retrievalStatus: {
-            in: ["PENDING", "IN_PROGRESS"],
-          },
-        },
-      }));
+      const awaitingEvals = !!evalResults.find(
+        (result) => result.totalCount < scenarioCount * evals.length,
+      );
 
       return {
         evalResults,
@@ -135,7 +141,7 @@ export const promptVariantsRouter = createTRPCRouter({
         overallCost: overallTokens._sum?.cost ?? 0,
         scenarioCount,
         outputCount,
-        awaitingRetrievals,
+        awaitingEvals,
       };
     }),
 
@@ -144,7 +150,7 @@ export const promptVariantsRouter = createTRPCRouter({
       z.object({
         experimentId: z.string(),
         variantId: z.string().optional(),
-        newModel: z.string().optional(),
+        streamScenarios: z.array(z.string()),
       }),
     )
     .mutation(async ({ input, ctx }) => {
@@ -186,10 +192,7 @@ export const promptVariantsRouter = createTRPCRouter({
           ? `${originalVariant?.label} Copy`
           : `Prompt Variant ${largestSortIndex + 2}`;
 
-      const newConstructFn = await deriveNewConstructFn(
-        originalVariant,
-        input.newModel as SupportedModel,
-      );
+      const newConstructFn = await deriveNewConstructFn(originalVariant);
 
       const createNewVariantAction = prisma.promptVariant.create({
         data: {
@@ -221,7 +224,9 @@ export const promptVariantsRouter = createTRPCRouter({
       });
 
       for (const scenario of scenarios) {
-        await generateNewCell(newVariant.id, scenario.id);
+        await generateNewCell(newVariant.id, scenario.id, {
+          stream: input.streamScenarios.includes(scenario.id),
+        });
       }
 
       return newVariant;
@@ -289,7 +294,12 @@ export const promptVariantsRouter = createTRPCRouter({
       z.object({
         id: z.string(),
         instructions: z.string().optional(),
-        newModel: z.string().optional(),
+        newModel: z
+          .object({
+            provider: ZodSupportedProvider,
+            model: z.string(),
+          })
+          .optional(),
       }),
     )
     .mutation(async ({ input, ctx }) => {
@@ -306,11 +316,11 @@ export const promptVariantsRouter = createTRPCRouter({
         return userError(constructedPrompt.error);
       }
 
-      const promptConstructionFn = await deriveNewConstructFn(
-        existing,
-        input.newModel as SupportedModel | undefined,
-        input.instructions,
-      );
+      const model = input.newModel
+        ? modelProviders[input.newModel.provider].models[input.newModel.model]
+        : undefined;
+
+      const promptConstructionFn = await deriveNewConstructFn(existing, model, input.instructions);
 
       // TODO: Validate promptConstructionFn
       // TODO: Record in some sort of history
@@ -323,6 +333,7 @@ export const promptVariantsRouter = createTRPCRouter({
       z.object({
         id: z.string(),
         constructFn: z.string(),
+        streamScenarios: z.array(z.string()),
       }),
     )
     .mutation(async ({ input, ctx }) => {
@@ -380,7 +391,9 @@ export const promptVariantsRouter = createTRPCRouter({
       });
 
       for (const scenario of scenarios) {
-        await generateNewCell(newVariant.id, scenario.id);
+        await generateNewCell(newVariant.id, scenario.id, {
+          stream: input.streamScenarios.includes(scenario.id),
+        });
       }
 
       return { status: "ok" } as const;

src/server/api/routers/scenarioVariantCells.router.ts

@@ -1,8 +1,8 @@
 import { z } from "zod";
 import { createTRPCRouter, protectedProcedure, publicProcedure } from "~/server/api/trpc";
 import { prisma } from "~/server/db";
+import { queueQueryModel } from "~/server/tasks/queryModel.task";
 import { generateNewCell } from "~/server/utils/generateNewCell";
-import { queueLLMRetrievalTask } from "~/server/utils/queueLLMRetrievalTask";
 import { requireCanModifyExperiment, requireCanViewExperiment } from "~/utils/accessControl";
 
 export const scenarioVariantCellsRouter = createTRPCRouter({
@@ -19,27 +19,45 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
       });
       await requireCanViewExperiment(experimentId, ctx);
 
-      return await prisma.scenarioVariantCell.findUnique({
-        where: {
-          promptVariantId_testScenarioId: {
-            promptVariantId: input.variantId,
-            testScenarioId: input.scenarioId,
+      const [cell, numTotalEvals] = await prisma.$transaction([
+        prisma.scenarioVariantCell.findUnique({
+          where: {
+            promptVariantId_testScenarioId: {
+              promptVariantId: input.variantId,
+              testScenarioId: input.scenarioId,
+            },
           },
-        },
-        include: {
-          modelOutput: {
-            include: {
-              outputEvaluation: {
-                include: {
-                  evaluation: {
-                    select: { label: true },
+          include: {
+            modelResponses: {
+              where: {
+                outdated: false,
+              },
+              include: {
+                outputEvaluations: {
+                  include: {
+                    evaluation: {
+                      select: { label: true },
+                    },
                   },
                 },
               },
             },
           },
-        },
-      });
+        }),
+        prisma.evaluation.count({
+          where: { experimentId },
+        }),
+      ]);
+
+      if (!cell) return null;
+
+      const lastResponse = cell.modelResponses?.[cell.modelResponses?.length - 1];
+      const evalsComplete = lastResponse?.outputEvaluations?.length === numTotalEvals;
+
+      return {
+        ...cell,
+        evalsComplete,
+      };
     }),
   forceRefetch: protectedProcedure
     .input(
@@ -62,29 +80,20 @@ export const scenarioVariantCellsRouter = createTRPCRouter({
             testScenarioId: input.scenarioId,
           },
         },
-        include: {
-          modelOutput: true,
-        },
       });
 
       if (!cell) {
-        await generateNewCell(input.variantId, input.scenarioId);
-        return true;
+        await generateNewCell(input.variantId, input.scenarioId, { stream: true });
+        return;
       }
 
-      if (cell.modelOutput) {
-        // TODO: Maybe keep these around to show previous generations?
-        await prisma.modelOutput.delete({
-          where: { id: cell.modelOutput.id },
-        });
-      }
-
-      await prisma.scenarioVariantCell.update({
-        where: { id: cell.id },
-        data: { retrievalStatus: "PENDING" },
+      await prisma.modelResponse.updateMany({
+        where: { scenarioVariantCellId: cell.id },
+        data: {
+          outdated: true,
+        },
       });
 
-      await queueLLMRetrievalTask(cell.id);
-      return true;
+      await queueQueryModel(cell.id, true);
     }),
 });

src/server/api/routers/scenarios.router.ts

@@ -7,21 +7,39 @@ import { runAllEvals } from "~/server/utils/evaluations";
 import { generateNewCell } from "~/server/utils/generateNewCell";
 import { requireCanModifyExperiment, requireCanViewExperiment } from "~/utils/accessControl";
 
+const PAGE_SIZE = 10;
+
 export const scenariosRouter = createTRPCRouter({
   list: publicProcedure
-    .input(z.object({ experimentId: z.string() }))
+    .input(z.object({ experimentId: z.string(), page: z.number() }))
     .query(async ({ input, ctx }) => {
       await requireCanViewExperiment(input.experimentId, ctx);
 
-      return await prisma.testScenario.findMany({
+      const { experimentId, page } = input;
+
+      const scenarios = await prisma.testScenario.findMany({
         where: {
-          experimentId: input.experimentId,
+          experimentId,
           visible: true,
         },
-        orderBy: {
-          sortIndex: "asc",
+        orderBy: { sortIndex: "asc" },
+        skip: (page - 1) * PAGE_SIZE,
+        take: PAGE_SIZE,
+      });
+
+      const count = await prisma.testScenario.count({
+        where: {
+          experimentId,
+          visible: true,
         },
       });
+
+      return {
+        scenarios,
+        startIndex: (page - 1) * PAGE_SIZE + 1,
+        lastPage: Math.ceil(count / PAGE_SIZE),
+        count,
+      };
     }),
 
   create: protectedProcedure
@@ -34,22 +52,21 @@ export const scenariosRouter = createTRPCRouter({
     .mutation(async ({ input, ctx }) => {
       await requireCanModifyExperiment(input.experimentId, ctx);
 
-      const maxSortIndex =
-        (
-          await prisma.testScenario.aggregate({
-            where: {
-              experimentId: input.experimentId,
-            },
-            _max: {
-              sortIndex: true,
-            },
-          })
-        )._max.sortIndex ?? 0;
+      await prisma.testScenario.updateMany({
+        where: {
+          experimentId: input.experimentId,
+        },
+        data: {
+          sortIndex: {
+            increment: 1,
+          },
+        },
+      });
 
       const createNewScenarioAction = prisma.testScenario.create({
         data: {
           experimentId: input.experimentId,
-          sortIndex: maxSortIndex + 1,
+          sortIndex: 0,
           variableValues: input.autogenerate
             ? await autogenerateScenarioValues(input.experimentId)
             : {},
@@ -69,7 +86,7 @@ export const scenariosRouter = createTRPCRouter({
       });
 
       for (const variant of promptVariants) {
-        await generateNewCell(variant.id, scenario.id);
+        await generateNewCell(variant.id, scenario.id, { stream: true });
       }
     }),
 
@@ -213,7 +230,7 @@ export const scenariosRouter = createTRPCRouter({
       });
 
       for (const variant of promptVariants) {
-        await generateNewCell(variant.id, newScenario.id);
+        await generateNewCell(variant.id, newScenario.id, { stream: true });
       }
 
       return newScenario;

src/server/tasks/defineTask.ts

@@ -7,9 +7,9 @@ function defineTask<TPayload>(
   taskIdentifier: string,
   taskHandler: (payload: TPayload, helpers: Helpers) => Promise<void>,
 ) {
-  const enqueue = async (payload: TPayload) => {
+  const enqueue = async (payload: TPayload, runAt?: Date) => {
     console.log("Enqueuing task", taskIdentifier, payload);
-    await quickAddJob({ connectionString: env.DATABASE_URL }, taskIdentifier, payload);
+    await quickAddJob({ connectionString: env.DATABASE_URL }, taskIdentifier, payload, { runAt });
   };
 
   const handler = (payload: TPayload, helpers: Helpers) => {

src/server/tasks/queryLLM.task.ts

@@ -1,165 +0,0 @@
-import { prisma } from "~/server/db";
-import defineTask from "./defineTask";
-import { sleep } from "../utils/sleep";
-import { generateChannel } from "~/utils/generateChannel";
-import { runEvalsForOutput } from "../utils/evaluations";
-import { type Prisma } from "@prisma/client";
-import parseConstructFn from "../utils/parseConstructFn";
-import hashPrompt from "../utils/hashPrompt";
-import { type JsonObject } from "type-fest";
-import modelProviders from "~/modelProviders/modelProviders";
-import { wsConnection } from "~/utils/wsConnection";
-
-export type queryLLMJob = {
-  scenarioVariantCellId: string;
-};
-
-const MAX_AUTO_RETRIES = 10;
-const MIN_DELAY = 500; // milliseconds
-const MAX_DELAY = 15000; // milliseconds
-
-function calculateDelay(numPreviousTries: number): number {
-  const baseDelay = Math.min(MAX_DELAY, MIN_DELAY * Math.pow(2, numPreviousTries));
-  const jitter = Math.random() * baseDelay;
-  return baseDelay + jitter;
-}
-
-export const queryLLM = defineTask<queryLLMJob>("queryLLM", async (task) => {
-  const { scenarioVariantCellId } = task;
-  const cell = await prisma.scenarioVariantCell.findUnique({
-    where: { id: scenarioVariantCellId },
-    include: { modelOutput: true },
-  });
-  if (!cell) {
-    await prisma.scenarioVariantCell.update({
-      where: { id: scenarioVariantCellId },
-      data: {
-        statusCode: 404,
-        errorMessage: "Cell not found",
-        retrievalStatus: "ERROR",
-      },
-    });
-    return;
-  }
-
-  // If cell is not pending, then some other job is already processing it
-  if (cell.retrievalStatus !== "PENDING") {
-    return;
-  }
-  await prisma.scenarioVariantCell.update({
-    where: { id: scenarioVariantCellId },
-    data: {
-      retrievalStatus: "IN_PROGRESS",
-    },
-  });
-
-  const variant = await prisma.promptVariant.findUnique({
-    where: { id: cell.promptVariantId },
-  });
-  if (!variant) {
-    await prisma.scenarioVariantCell.update({
-      where: { id: scenarioVariantCellId },
-      data: {
-        statusCode: 404,
-        errorMessage: "Prompt Variant not found",
-        retrievalStatus: "ERROR",
-      },
-    });
-    return;
-  }
-
-  const scenario = await prisma.testScenario.findUnique({
-    where: { id: cell.testScenarioId },
-  });
-  if (!scenario) {
-    await prisma.scenarioVariantCell.update({
-      where: { id: scenarioVariantCellId },
-      data: {
-        statusCode: 404,
-        errorMessage: "Scenario not found",
-        retrievalStatus: "ERROR",
-      },
-    });
-    return;
-  }
-
-  const prompt = await parseConstructFn(variant.constructFn, scenario.variableValues as JsonObject);
-
-  if ("error" in prompt) {
-    await prisma.scenarioVariantCell.update({
-      where: { id: scenarioVariantCellId },
-      data: {
-        statusCode: 400,
-        errorMessage: prompt.error,
-        retrievalStatus: "ERROR",
-      },
-    });
-    return;
-  }
-
-  const provider = modelProviders[prompt.modelProvider];
-
-  const streamingChannel = provider.shouldStream(prompt.modelInput) ? generateChannel() : null;
-
-  if (streamingChannel) {
-    // Save streaming channel so that UI can connect to it
-    await prisma.scenarioVariantCell.update({
-      where: { id: scenarioVariantCellId },
-      data: { streamingChannel },
-    });
-  }
-  const onStream = streamingChannel
-    ? (partialOutput: (typeof provider)["_outputSchema"]) => {
-        wsConnection.emit("message", { channel: streamingChannel, payload: partialOutput });
-      }
-    : null;
-
-  for (let i = 0; true; i++) {
-    const response = await provider.getCompletion(prompt.modelInput, onStream);
-    if (response.type === "success") {
-      const inputHash = hashPrompt(prompt);
-
-      const modelOutput = await prisma.modelOutput.create({
-        data: {
-          scenarioVariantCellId,
-          inputHash,
-          output: response.value as Prisma.InputJsonObject,
-          timeToComplete: response.timeToComplete,
-          promptTokens: response.promptTokens,
-          completionTokens: response.completionTokens,
-          cost: response.cost,
-        },
-      });
-
-      await prisma.scenarioVariantCell.update({
-        where: { id: scenarioVariantCellId },
-        data: {
-          statusCode: response.statusCode,
-          retrievalStatus: "COMPLETE",
-        },
-      });
-
-      await runEvalsForOutput(variant.experimentId, scenario, modelOutput);
-      break;
-    } else {
-      const shouldRetry = response.autoRetry && i < MAX_AUTO_RETRIES;
-      const delay = calculateDelay(i);
-
-      await prisma.scenarioVariantCell.update({
-        where: { id: scenarioVariantCellId },
-        data: {
-          errorMessage: response.message,
-          statusCode: response.statusCode,
-          retryTime: shouldRetry ? new Date(Date.now() + delay) : null,
-          retrievalStatus: "ERROR",
-        },
-      });
-
-      if (shouldRetry) {
-        await sleep(delay);
-      } else {
-        break;
-      }
-    }
-  }
-});

src/server/tasks/queryModel.task.ts

@@ -0,0 +1,185 @@
+import { type Prisma } from "@prisma/client";
+import { type JsonObject } from "type-fest";
+import modelProviders from "~/modelProviders/modelProviders";
+import { prisma } from "~/server/db";
+import { wsConnection } from "~/utils/wsConnection";
+import { runEvalsForOutput } from "../utils/evaluations";
+import hashPrompt from "../utils/hashPrompt";
+import parseConstructFn from "../utils/parseConstructFn";
+import defineTask from "./defineTask";
+
+export type QueryModelJob = {
+  cellId: string;
+  stream: boolean;
+  numPreviousTries: number;
+};
+
+const MAX_AUTO_RETRIES = 50;
+const MIN_DELAY = 500; // milliseconds
+const MAX_DELAY = 15000; // milliseconds
+
+function calculateDelay(numPreviousTries: number): number {
+  const baseDelay = Math.min(MAX_DELAY, MIN_DELAY * Math.pow(2, numPreviousTries));
+  const jitter = Math.random() * baseDelay;
+  return baseDelay + jitter;
+}
+
+export const queryModel = defineTask<QueryModelJob>("queryModel", async (task) => {
+  console.log("RUNNING TASK", task);
+  const { cellId, stream, numPreviousTries } = task;
+  const cell = await prisma.scenarioVariantCell.findUnique({
+    where: { id: cellId },
+    include: { modelResponses: true },
+  });
+  if (!cell) {
+    return;
+  }
+
+  // If cell is not pending, then some other job is already processing it
+  if (cell.retrievalStatus !== "PENDING") {
+    return;
+  }
+  await prisma.scenarioVariantCell.update({
+    where: { id: cellId },
+    data: {
+      retrievalStatus: "IN_PROGRESS",
+      jobStartedAt: new Date(),
+    },
+  });
+
+  const variant = await prisma.promptVariant.findUnique({
+    where: { id: cell.promptVariantId },
+  });
+  if (!variant) {
+    await prisma.scenarioVariantCell.update({
+      where: { id: cellId },
+      data: {
+        errorMessage: "Prompt Variant not found",
+        retrievalStatus: "ERROR",
+      },
+    });
+    return;
+  }
+
+  const scenario = await prisma.testScenario.findUnique({
+    where: { id: cell.testScenarioId },
+  });
+  if (!scenario) {
+    await prisma.scenarioVariantCell.update({
+      where: { id: cellId },
+      data: {
+        errorMessage: "Scenario not found",
+        retrievalStatus: "ERROR",
+      },
+    });
+    return;
+  }
+
+  const prompt = await parseConstructFn(variant.constructFn, scenario.variableValues as JsonObject);
+
+  if ("error" in prompt) {
+    await prisma.scenarioVariantCell.update({
+      where: { id: cellId },
+      data: {
+        errorMessage: prompt.error,
+        retrievalStatus: "ERROR",
+      },
+    });
+    return;
+  }
+
+  const provider = modelProviders[prompt.modelProvider];
+
+  const onStream = stream
+    ? (partialOutput: (typeof provider)["_outputSchema"]) => {
+        wsConnection.emit("message", { channel: cell.id, payload: partialOutput });
+      }
+    : null;
+
+  const inputHash = hashPrompt(prompt);
+
+  let modelResponse = await prisma.modelResponse.create({
+    data: {
+      inputHash,
+      scenarioVariantCellId: cellId,
+      requestedAt: new Date(),
+    },
+  });
+  const response = await provider.getCompletion(prompt.modelInput, onStream);
+  if (response.type === "success") {
+    modelResponse = await prisma.modelResponse.update({
+      where: { id: modelResponse.id },
+      data: {
+        output: response.value as Prisma.InputJsonObject,
+        statusCode: response.statusCode,
+        receivedAt: new Date(),
+        promptTokens: response.promptTokens,
+        completionTokens: response.completionTokens,
+        cost: response.cost,
+      },
+    });
+
+    await prisma.scenarioVariantCell.update({
+      where: { id: cellId },
+      data: {
+        retrievalStatus: "COMPLETE",
+      },
+    });
+
+    await runEvalsForOutput(variant.experimentId, scenario, modelResponse, prompt.modelProvider);
+  } else {
+    const shouldRetry = response.autoRetry && numPreviousTries < MAX_AUTO_RETRIES;
+    const delay = calculateDelay(numPreviousTries);
+    const retryTime = new Date(Date.now() + delay);
+
+    await prisma.modelResponse.update({
+      where: { id: modelResponse.id },
+      data: {
+        statusCode: response.statusCode,
+        errorMessage: response.message,
+        receivedAt: new Date(),
+        retryTime: shouldRetry ? retryTime : null,
+      },
+    });
+
+    if (shouldRetry) {
+      await queryModel.enqueue(
+        {
+          cellId,
+          stream,
+          numPreviousTries: numPreviousTries + 1,
+        },
+        retryTime,
+      );
+      await prisma.scenarioVariantCell.update({
+        where: { id: cellId },
+        data: {
+          retrievalStatus: "PENDING",
+        },
+      });
+    } else {
+      await prisma.scenarioVariantCell.update({
+        where: { id: cellId },
+        data: {
+          retrievalStatus: "ERROR",
+        },
+      });
+    }
+  }
+});
+
+export const queueQueryModel = async (cellId: string, stream: boolean) => {
+  await Promise.all([
+    prisma.scenarioVariantCell.update({
+      where: {
+        id: cellId,
+      },
+      data: {
+        retrievalStatus: "PENDING",
+        errorMessage: null,
+        jobQueuedAt: new Date(),
+      },
+    }),
+    queryModel.enqueue({ cellId, stream, numPreviousTries: 0 }),
+  ]);
+};

src/server/tasks/runNewEval.task.ts

@@ -0,0 +1,17 @@
+import { runAllEvals } from "../utils/evaluations";
+import defineTask from "./defineTask";
+
+export type RunNewEvalJob = {
+  experimentId: string;
+};
+
+// When a new eval is created, we want to run it on all existing outputs, but return the new eval first
+export const runNewEval = defineTask<RunNewEvalJob>("runNewEval", async (task) => {
+  console.log("RUNNING TASK", task);
+  const { experimentId } = task;
+  await runAllEvals(experimentId);
+});
+
+export const queueRunNewEval = async (experimentId: string) => {
+  await runNewEval.enqueue({ experimentId });
+};

src/server/tasks/worker.ts

@@ -2,39 +2,28 @@ import { type TaskList, run } from "graphile-worker";
 import "dotenv/config";
 
 import { env } from "~/env.mjs";
-import { queryLLM } from "./queryLLM.task";
+import { queryModel } from "./queryModel.task";
+import { runNewEval } from "./runNewEval.task";
 
-const registeredTasks = [queryLLM];
+console.log("Starting worker");
+
+const registeredTasks = [queryModel, runNewEval];
 
 const taskList = registeredTasks.reduce((acc, task) => {
   acc[task.task.identifier] = task.task.handler;
   return acc;
 }, {} as TaskList);
 
-async function main() {
-  // Run a worker to execute jobs:
-  const runner = await run({
-    connectionString: env.DATABASE_URL,
-    concurrency: 20,
-    // Install signal handlers for graceful shutdown on SIGINT, SIGTERM, etc
-    noHandleSignals: false,
-    pollInterval: 1000,
-    // you can set the taskList or taskDirectory but not both
-    taskList,
-    // or:
-    //   taskDirectory: `${__dirname}/tasks`,
-  });
-
-  // Immediately await (or otherwise handled) the resulting promise, to avoid
-  // "unhandled rejection" errors causing a process crash in the event of
-  // something going wrong.
-  await runner.promise;
-
-  // If the worker exits (whether through fatal error or otherwise), the above
-  // promise will resolve/reject.
-}
-
-main().catch((err) => {
-  console.error("Unhandled error occurred running worker: ", err);
-  process.exit(1);
+// Run a worker to execute jobs:
+const runner = await run({
+  connectionString: env.DATABASE_URL,
+  concurrency: 50,
+  // Install signal handlers for graceful shutdown on SIGINT, SIGTERM, etc
+  noHandleSignals: false,
+  pollInterval: 1000,
+  taskList,
 });
+
+console.log("Worker successfully started");
+
+await runner.promise;

src/server/types.ts

@@ -1,12 +0,0 @@
-export enum OpenAIChatModel {
-  "gpt-4" = "gpt-4",
-  "gpt-4-0613" = "gpt-4-0613",
-  "gpt-4-32k" = "gpt-4-32k",
-  "gpt-4-32k-0613" = "gpt-4-32k-0613",
-  "gpt-3.5-turbo" = "gpt-3.5-turbo",
-  "gpt-3.5-turbo-0613" = "gpt-3.5-turbo-0613",
-  "gpt-3.5-turbo-16k" = "gpt-3.5-turbo-16k",
-  "gpt-3.5-turbo-16k-0613" = "gpt-3.5-turbo-16k-0613",
-}
-
-export type SupportedModel = keyof typeof OpenAIChatModel;

src/server/utils/deriveNewContructFn.ts

@@ -1,18 +1,18 @@
 import { type PromptVariant } from "@prisma/client";
-import { type SupportedModel } from "../types";
 import ivm from "isolated-vm";
 import dedent from "dedent";
 import { openai } from "./openai";
-import { getApiShapeForModel } from "./getTypesForModel";
 import { isObject } from "lodash-es";
 import { type CompletionCreateParams } from "openai/resources/chat/completions";
 import formatPromptConstructor from "~/utils/formatPromptConstructor";
+import { type SupportedProvider, type Model } from "~/modelProviders/types";
+import modelProviders from "~/modelProviders/modelProviders";
 
 const isolate = new ivm.Isolate({ memoryLimit: 128 });
 
 export async function deriveNewConstructFn(
   originalVariant: PromptVariant | null,
-  newModel?: SupportedModel,
+  newModel?: Model,
   instructions?: string,
 ) {
   if (originalVariant && !newModel && !instructions) {
@@ -36,10 +36,11 @@ export async function deriveNewConstructFn(
 const NUM_RETRIES = 5;
 const requestUpdatedPromptFunction = async (
   originalVariant: PromptVariant,
-  newModel?: SupportedModel,
+  newModel?: Model,
   instructions?: string,
 ) => {
-  const originalModel = originalVariant.model as SupportedModel;
+  const originalModelProvider = modelProviders[originalVariant.modelProvider as SupportedProvider];
+  const originalModel = originalModelProvider.models[originalVariant.model] as Model;
   let newContructionFn = "";
   for (let i = 0; i < NUM_RETRIES; i++) {
     try {
@@ -47,7 +48,7 @@ const requestUpdatedPromptFunction = async (
         {
           role: "system",
           content: `Your job is to update prompt constructor functions. Here is the api shape for the current model:\n---\n${JSON.stringify(
-            getApiShapeForModel(originalModel),
+            originalModelProvider.inputSchema,
             null,
             2,
           )}\n\nDo not add any assistant messages.`,
@@ -60,8 +61,25 @@ const requestUpdatedPromptFunction = async (
       if (newModel) {
         messages.push({
           role: "user",
-          content: `Return the prompt constructor function for ${newModel} given the existing prompt constructor function for ${originalModel}`,
+          content: `Return the prompt constructor function for ${newModel.name} given the existing prompt constructor function for ${originalModel.name}`,
         });
+        if (newModel.provider !== originalModel.provider) {
+          messages.push({
+            role: "user",
+            content: `The old provider was ${originalModel.provider}. The new provider is ${
+              newModel.provider
+            }. Here is the schema for the new model:\n---\n${JSON.stringify(
+              modelProviders[newModel.provider].inputSchema,
+              null,
+              2,
+            )}`,
+          });
+        } else {
+          messages.push({
+            role: "user",
+            content: `The provider is the same as the old provider: ${originalModel.provider}`,
+          });
+        }
       }
       if (instructions) {
         messages.push({

src/server/utils/evaluations.ts

@@ -1,19 +1,25 @@
-import { type ModelOutput, type Evaluation } from "@prisma/client";
+import { type ModelResponse, type Evaluation, Prisma } from "@prisma/client";
 import { prisma } from "../db";
 import { runOneEval } from "./runOneEval";
 import { type Scenario } from "~/components/OutputsTable/types";
+import { type SupportedProvider } from "~/modelProviders/types";
 
-const saveResult = async (evaluation: Evaluation, scenario: Scenario, modelOutput: ModelOutput) => {
-  const result = await runOneEval(evaluation, scenario, modelOutput);
+const runAndSaveEval = async (
+  evaluation: Evaluation,
+  scenario: Scenario,
+  modelResponse: ModelResponse,
+  provider: SupportedProvider,
+) => {
+  const result = await runOneEval(evaluation, scenario, modelResponse, provider);
   return await prisma.outputEvaluation.upsert({
     where: {
-      modelOutputId_evaluationId: {
-        modelOutputId: modelOutput.id,
+      modelResponseId_evaluationId: {
+        modelResponseId: modelResponse.id,
         evaluationId: evaluation.id,
       },
     },
     create: {
-      modelOutputId: modelOutput.id,
+      modelResponseId: modelResponse.id,
       evaluationId: evaluation.id,
       ...result,
     },
@@ -26,20 +32,28 @@ const saveResult = async (evaluation: Evaluation, scenario: Scenario, modelOutpu
 export const runEvalsForOutput = async (
   experimentId: string,
   scenario: Scenario,
-  modelOutput: ModelOutput,
+  modelResponse: ModelResponse,
+  provider: SupportedProvider,
 ) => {
   const evaluations = await prisma.evaluation.findMany({
     where: { experimentId },
   });
 
   await Promise.all(
-    evaluations.map(async (evaluation) => await saveResult(evaluation, scenario, modelOutput)),
+    evaluations.map(
+      async (evaluation) => await runAndSaveEval(evaluation, scenario, modelResponse, provider),
+    ),
   );
 };
 
+// Will not run eval-output pairs that already exist in the database
 export const runAllEvals = async (experimentId: string) => {
-  const outputs = await prisma.modelOutput.findMany({
+  const outputs = await prisma.modelResponse.findMany({
     where: {
+      outdated: false,
+      output: {
+        not: Prisma.AnyNull,
+      },
       scenarioVariantCell: {
         promptVariant: {
           experimentId,
@@ -54,9 +68,10 @@ export const runAllEvals = async (experimentId: string) => {
       scenarioVariantCell: {
         include: {
           testScenario: true,
+          promptVariant: true,
         },
       },
-      outputEvaluation: true,
+      outputEvaluations: true,
     },
   });
   const evals = await prisma.evaluation.findMany({
@@ -65,13 +80,18 @@ export const runAllEvals = async (experimentId: string) => {
 
   await Promise.all(
     outputs.map(async (output) => {
-      const unrunEvals = evals.filter(
-        (evaluation) => !output.outputEvaluation.find((e) => e.evaluationId === evaluation.id),
+      const evalsToBeRun = evals.filter(
+        (evaluation) => !output.outputEvaluations.find((e) => e.evaluationId === evaluation.id),
       );
 
       await Promise.all(
-        unrunEvals.map(async (evaluation) => {
-          await saveResult(evaluation, output.scenarioVariantCell.testScenario, output);
+        evalsToBeRun.map(async (evaluation) => {
+          await runAndSaveEval(
+            evaluation,
+            output.scenarioVariantCell.testScenario,
+            output,
+            output.scenarioVariantCell.promptVariant.modelProvider as SupportedProvider,
+          );
         }),
       );
     }),

src/server/utils/generateNewCell.ts

@@ -1,11 +1,18 @@
-import { type Prisma } from "@prisma/client";
+import { Prisma } from "@prisma/client";
 import { prisma } from "../db";
-import { queueLLMRetrievalTask } from "./queueLLMRetrievalTask";
 import parseConstructFn from "./parseConstructFn";
 import { type JsonObject } from "type-fest";
 import hashPrompt from "./hashPrompt";
+import { omit } from "lodash-es";
+import { queueQueryModel } from "../tasks/queryModel.task";
+
+export const generateNewCell = async (
+  variantId: string,
+  scenarioId: string,
+  options?: { stream?: boolean },
+): Promise<void> => {
+  const stream = options?.stream ?? false;
 
-export const generateNewCell = async (variantId: string, scenarioId: string) => {
   const variant = await prisma.promptVariant.findUnique({
     where: {
       id: variantId,
@@ -18,7 +25,7 @@ export const generateNewCell = async (variantId: string, scenarioId: string) =>
     },
   });
 
-  if (!variant || !scenario) return null;
+  if (!variant || !scenario) return;
 
   let cell = await prisma.scenarioVariantCell.findUnique({
     where: {
@@ -28,11 +35,11 @@ export const generateNewCell = async (variantId: string, scenarioId: string) =>
       },
     },
     include: {
-      modelOutput: true,
+      modelResponses: true,
     },
   });
 
-  if (cell) return cell;
+  if (cell) return;
 
   const parsedConstructFn = await parseConstructFn(
     variant.constructFn,
@@ -40,15 +47,14 @@ export const generateNewCell = async (variantId: string, scenarioId: string) =>
   );
 
   if ("error" in parsedConstructFn) {
-    return await prisma.scenarioVariantCell.create({
+    await prisma.scenarioVariantCell.create({
       data: {
         promptVariantId: variantId,
         testScenarioId: scenarioId,
-        statusCode: 400,
-        errorMessage: parsedConstructFn.error,
         retrievalStatus: "ERROR",
       },
     });
+    return;
   }
 
   const inputHash = hashPrompt(parsedConstructFn);
@@ -61,37 +67,60 @@ export const generateNewCell = async (variantId: string, scenarioId: string) =>
       retrievalStatus: "PENDING",
     },
     include: {
-      modelOutput: true,
+      modelResponses: true,
     },
   });
 
-  const matchingModelOutput = await prisma.modelOutput.findFirst({
-    where: { inputHash },
+  const matchingModelResponse = await prisma.modelResponse.findFirst({
+    where: {
+      inputHash,
+      output: {
+        not: Prisma.AnyNull,
+      },
+    },
+    orderBy: {
+      receivedAt: "desc",
+    },
+    include: {
+      scenarioVariantCell: true,
+    },
+    take: 1,
   });
 
-  let newModelOutput;
-
-  if (matchingModelOutput) {
-    newModelOutput = await prisma.modelOutput.create({
+  if (matchingModelResponse) {
+    const newModelResponse = await prisma.modelResponse.create({
       data: {
+        ...omit(matchingModelResponse, ["id", "scenarioVariantCell"]),
         scenarioVariantCellId: cell.id,
-        inputHash,
-        output: matchingModelOutput.output as Prisma.InputJsonValue,
-        timeToComplete: matchingModelOutput.timeToComplete,
-        cost: matchingModelOutput.cost,
-        promptTokens: matchingModelOutput.promptTokens,
-        completionTokens: matchingModelOutput.completionTokens,
-        createdAt: matchingModelOutput.createdAt,
-        updatedAt: matchingModelOutput.updatedAt,
+        output: matchingModelResponse.output as Prisma.InputJsonValue,
       },
     });
+
     await prisma.scenarioVariantCell.update({
       where: { id: cell.id },
-      data: { retrievalStatus: "COMPLETE" },
+      data: {
+        retrievalStatus: "COMPLETE",
+        jobStartedAt: matchingModelResponse.scenarioVariantCell.jobStartedAt,
+        jobQueuedAt: matchingModelResponse.scenarioVariantCell.jobQueuedAt,
+      },
     });
-  } else {
-    cell = await queueLLMRetrievalTask(cell.id);
-  }
 
-  return { ...cell, modelOutput: newModelOutput };
+    // Copy over all eval results as well
+    await Promise.all(
+      (
+        await prisma.outputEvaluation.findMany({
+          where: { modelResponseId: matchingModelResponse.id },
+        })
+      ).map(async (evaluation) => {
+        await prisma.outputEvaluation.create({
+          data: {
+            ...omit(evaluation, ["id"]),
+            modelResponseId: newModelResponse.id,
+          },
+        });
+      }),
+    );
+  } else {
+    await queueQueryModel(cell.id, stream);
+  }
 };

src/server/utils/getTypesForModel.ts

@@ -1,6 +0,0 @@
-import { type SupportedModel } from "../types";
-
-export const getApiShapeForModel = (model: SupportedModel) => {
-  // if (model in OpenAIChatModel) return openAIChatApiShape;
-  return "";
-};

src/server/utils/queueLLMRetrievalTask.ts

@@ -1,22 +0,0 @@
-import { prisma } from "../db";
-import { queryLLM } from "../tasks/queryLLM.task";
-
-export const queueLLMRetrievalTask = async (cellId: string) => {
-  const updatedCell = await prisma.scenarioVariantCell.update({
-    where: {
-      id: cellId,
-    },
-    data: {
-      retrievalStatus: "PENDING",
-      errorMessage: null,
-    },
-    include: {
-      modelOutput: true,
-    },
-  });
-
-  // @ts-expect-error we aren't passing the helpers but that's ok
-  void queryLLM.task.handler({ scenarioVariantCellId: cellId }, { logger: console });
-
-  return updatedCell;
-};

src/server/utils/runOneEval.ts

@@ -1,13 +1,14 @@
-import { type Evaluation, type ModelOutput, type TestScenario } from "@prisma/client";
-import { type ChatCompletion } from "openai/resources/chat";
+import { type Evaluation, type ModelResponse, type TestScenario } from "@prisma/client";
 import { type VariableMap, fillTemplate, escapeRegExp, escapeQuotes } from "./fillTemplate";
 import { openai } from "./openai";
 import dedent from "dedent";
+import modelProviders from "~/modelProviders/modelProviders";
+import { type SupportedProvider } from "~/modelProviders/types";
 
 export const runGpt4Eval = async (
   evaluation: Evaluation,
   scenario: TestScenario,
-  message: ChatCompletion.Choice.Message,
+  stringifiedOutput: string,
 ): Promise<{ result: number; details: string }> => {
   const output = await openai.chat.completions.create({
     model: "gpt-4-0613",
@@ -26,11 +27,7 @@ export const runGpt4Eval = async (
       },
       {
         role: "user",
-        content: `The full output of the simpler message:\n---\n${JSON.stringify(
-          message.content ?? message.function_call,
-          null,
-          2,
-        )}`,
+        content: `The full output of the simpler message:\n---\n${stringifiedOutput}`,
       },
     ],
     function_call: {
@@ -70,15 +67,16 @@ export const runGpt4Eval = async (
 export const runOneEval = async (
   evaluation: Evaluation,
   scenario: TestScenario,
-  modelOutput: ModelOutput,
+  modelResponse: ModelResponse,
+  provider: SupportedProvider,
 ): Promise<{ result: number; details?: string }> => {
-  const output = modelOutput.output as unknown as ChatCompletion;
-
-  const message = output?.choices?.[0]?.message;
+  const modelProvider = modelProviders[provider];
+  const message = modelProvider.normalizeOutput(modelResponse.output);
 
   if (!message) return { result: 0 };
 
-  const stringifiedMessage = message.content ?? JSON.stringify(message.function_call);
+  const stringifiedOutput =
+    message.type === "json" ? JSON.stringify(message.value, null, 2) : message.value;
 
   const matchRegex = escapeRegExp(
     fillTemplate(escapeQuotes(evaluation.value), scenario.variableValues as VariableMap),
@@ -86,10 +84,10 @@ export const runOneEval = async (
 
   switch (evaluation.evalType) {
     case "CONTAINS":
-      return { result: stringifiedMessage.match(matchRegex) !== null ? 1 : 0 };
+      return { result: stringifiedOutput.match(matchRegex) !== null ? 1 : 0 };
     case "DOES_NOT_CONTAIN":
-      return { result: stringifiedMessage.match(matchRegex) === null ? 1 : 0 };
+      return { result: stringifiedOutput.match(matchRegex) === null ? 1 : 0 };
     case "GPT4_EVAL":
-      return await runGpt4Eval(evaluation, scenario, message);
+      return await runGpt4Eval(evaluation, scenario, stringifiedOutput);
   }
 };

src/server/utils/userOrg.ts

@@ -8,7 +8,7 @@ export default async function userOrg(userId: string) {
     update: {},
     create: {
       personalOrgUserId: userId,
-      OrganizationUser: {
+      organizationUsers: {
         create: {
           userId: userId,
           role: "ADMIN",

src/state/sharedVariantEditor.slice.ts

@@ -8,9 +8,9 @@ export const editorBackground = "#fafafa";
 export type SharedVariantEditorSlice = {
   monaco: null | ReturnType<typeof loader.__getMonacoInstance>;
   loadMonaco: () => Promise<void>;
-  scenarios: RouterOutputs["scenarios"]["list"];
+  scenarios: RouterOutputs["scenarios"]["list"]["scenarios"];
   updateScenariosModel: () => void;
-  setScenarios: (scenarios: RouterOutputs["scenarios"]["list"]) => void;
+  setScenarios: (scenarios: RouterOutputs["scenarios"]["list"]["scenarios"]) => void;
 };
 
 export const createVariantEditorSlice: SliceCreator<SharedVariantEditorSlice> = (set, get) => ({

src/state/sync.tsx

@@ -1,17 +1,14 @@
 import { useEffect } from "react";
 import { api } from "~/utils/api";
-import { useExperiment } from "~/utils/hooks";
+import { useScenarios } from "~/utils/hooks";
 import { useAppStore } from "./store";
 
 export function useSyncVariantEditor() {
-  const experiment = useExperiment();
-  const scenarios = api.scenarios.list.useQuery(
-    { experimentId: experiment.data?.id ?? "" },
-    { enabled: !!experiment.data?.id },
-  );
+  const scenarios = useScenarios();
+
   useEffect(() => {
     if (scenarios.data) {
-      useAppStore.getState().sharedVariantEditor.setScenarios(scenarios.data);
+      useAppStore.getState().sharedVariantEditor.setScenarios(scenarios.data.scenarios);
     }
   }, [scenarios.data]);
 }

src/utils/accessControl.ts

@@ -22,7 +22,7 @@ export const canModifyExperiment = async (experimentId: string, userId: string)
     where: {
       id: experimentId,
       organization: {
-        OrganizationUser: {
+        organizationUsers: {
           some: {
             role: { in: [OrganizationUserRole.ADMIN, OrganizationUserRole.MEMBER] },
             userId,

src/utils/countTokens.ts

@@ -1,6 +1,6 @@
 import { type ChatCompletion } from "openai/resources/chat";
 import { GPTTokens } from "gpt-tokens";
-import { type OpenAIChatModel } from "~/server/types";
+import { type SupportedModel } from "~/modelProviders/openai-ChatCompletion";
 
 interface GPTTokensMessageItem {
   name?: string;
@@ -9,7 +9,7 @@ interface GPTTokensMessageItem {
 }
 
 export const countOpenAIChatTokens = (
-  model: keyof typeof OpenAIChatModel,
+  model: SupportedModel,
   messages: ChatCompletion.Choice.Message[],
 ) => {
   return new GPTTokens({ model, messages: messages as unknown as GPTTokensMessageItem[] })

src/utils/generateChannel.ts

@@ -1,5 +0,0 @@
-// generate random channel id
-
-export const generateChannel = () => {
-  return Math.random().toString(36).substring(2, 15) + Math.random().toString(36).substring(2, 15);
-};

src/utils/hooks.ts

@@ -1,6 +1,7 @@
 import { useRouter } from "next/router";
 import { type RefObject, useCallback, useEffect, useRef, useState } from "react";
 import { api } from "~/utils/api";
+import { NumberParam, useQueryParam, withDefault } from "use-query-params";
 
 export const useExperiment = () => {
   const router = useRouter();
@@ -93,3 +94,17 @@ export const useElementDimensions = (): [RefObject<HTMLElement>, Dimensions | un
 
   return [ref, dimensions];
 };
+
+export const usePage = () => useQueryParam("page", withDefault(NumberParam, 1));
+
+export const useScenarios = () => {
+  const experiment = useExperiment();
+  const [page] = usePage();
+
+  return api.scenarios.list.useQuery(
+    { experimentId: experiment.data?.id ?? "", page },
+    { enabled: experiment.data?.id != null },
+  );
+};
+
+export const useVisibleScenarioIds = () => useScenarios().data?.scenarios.map((s) => s.id) ?? [];

src/utils/utils.ts

@@ -1 +1,12 @@
+import frontendModelProviders from "~/modelProviders/frontendModelProviders";
+import { type ProviderModel } from "~/modelProviders/types";
+
 export const truthyFilter = <T>(x: T | null | undefined): x is T => Boolean(x);
+
+export const lookupModel = (provider: string, model: string) => {
+  const modelObj = frontendModelProviders[provider as ProviderModel["provider"]]?.models[model];
+  return modelObj ? { ...modelObj, provider } : null;
+};
+
+export const modelLabel = (provider: string, model: string) =>
+  `${provider}/${lookupModel(provider, model)?.name ?? model}`;